Fermilab Fermilab Core Computing Division

Library Home |  Ask a Librarian library@fnal.gov |  Book Catalog |  Library Journals |  Requests |  SPIRES |  Fermilab Documents |

Fermilab Library
SPIRES-BOOKS: FIND KEYWORD BIOMETRICS *END*INIT* use /tmp/qspiwww.webspi1/14914.63 QRY 131.225.70.96 . find keyword biometrics ( in books using www Cover
Image
Call number:1848213859:ONLINE Show nearby items on shelf
Title:Signal and Image Processing for Biometrics
Author(s): Nait-Ali
Date:2012
Publisher:Wiley-ISTE
Size:1 online resource (337 p.)
ISBN:9781848213852
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:0470518839:ONLINE Show nearby items on shelf
Title:Behavioral Biometrics - A Remote Access Approach
Author(s): Revett
Date:2008
Publisher:Wiley
Size:1 online resource (251 p.)
ISBN:9780470518830
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:0470247827:ONLINE Show nearby items on shelf
Title:Biometrics: Theory, Methods, and Applications.
Author(s): Boulgouris
Date:2009
Publisher:Wiley-IEEE Press
Size:1 online resource (746 p.)
ISBN:9780470247822
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:0470193395:ONLINE Show nearby items on shelf
Title:Hardware-Based Computer Security Techniques to Defeat Hackers: From Biometrics to Quantum Cryptography
Author(s): Dube
Date:2008
Publisher:Wiley
Size:1 online resource (257 p.)
ISBN:9780470193396
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2011-9789048132553:ONLINE Show nearby items on shelf
Title:Acoustical Imaging [electronic resource] : Volume 30
Author(s): Michael P Andr
Joie P Jones
Hua Lee
Date:2011
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The International Symposium on Acoustical Imaging is a unique forum for advanced research, covering new technologies, developments, methods and theories in all areas of acoustics. This interdisciplinary Symposium has been takingplace every two years since 1968. In the course of the years the proceedings volumes in the Acoustical Imaging Series have become a reference for cutting-edge research in the field. In 2009 the 30th International Symposium onAcoustical Imaging was held in Monterey, CA, USA, Ma rch 1-4. Offering both a broad perspective on the state-of-the-art as well as in-depth research contributions by the specialists in the field, this Volume 30 in the Series containsan excellent collection of forty three papers presented in five major categ ories: Biomedical Imaging Acoustic Microscopy Non-Destructive Evaluation Systems Analysis Signal Analysis and Image Processing Audience Researchers in medicalimaging and biomedical instrumentation experts
Note:Springer eBooks
Contents:Preface. Part I BIOMEDICAL IMAGING Performance of a Method to Standardize Breast Ultrasound Interpretation Using Image Processing and Case
Based Reasoning
High Resolution Ultrasonic Method for 3D Fingerprint Recognizable Characteristics In Biometrics Identification
Ultrasonic Detection of Metastases in Dissected Lymph Nodes of Cancer Patients
Measurement of Mechanical Properties of Soft Tissue with Ultrasound Vibrometry
Vector Doppler Method Based on an Automatic Transverse Angle Tracking Procedure
Proposal for Blood
Flow Imaging by Contrast Echo Using Counter
Crossed Beams
I
ISBN:9789048132553
Series:e-books
Series:SpringerLink (Online service)
Series:Acoustical Imaging, 0270-5117 : v30
Series:Physics and Astronomy (Springer-11651)
Keywords: Radiology, Medical , Diagnosis, Ultrasonic , Acoustics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2011-9781441983428:ONLINE Show nearby items on shelf
Title:Dynamic Mixed Models for Familial Longitudinal Data [electronic resource]
Author(s): Brajendra C Sutradhar
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model thelongitudinal correlati ons for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized todevelop theoretically sound inference techniq ues such as the generalized quasi-likelihood (GQL) technique for consistent and efficient estimation of the underlying regression effects involved in the model, whereas the existingworking correlations based GEE (generalized estimating equations) approach has serious theoretical limitations both for consistent and efficient estimation, and the existing random effects based correlations approach is notsuitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal datacollected from the members of a large number of independent families by using the class of auto-correlation structures conditiona l on the random effects. The book also provides models and inferences for discrete longitudinal data inthe adaptive clinical trial set up. The book is mathematically rigorous and provides details for the development of estimation approaches under selected familial and longitudinal models. Further, while the book provides special caresfor mathematics behind the correlation models, it also presents the illustrations of the statistical analysis of various real life data. This book will be of interest to the researchers including graduate students in biostatistics andeconometrics, among other applied statistics research areas. Brajendra Sutradhar is a University Research Professor at Memorial Universi
Note:Springer eBooks
Contents:Introduction
Overview of Linear Fixed Models for Longitudinal Data
Overview of Linear Mixed Models for Longitudinal Data
Familial Models for Count Data
Familial Models for Binary Data
Longitudinal Models for Count Data
Longitudinal Models for Binary Data
Longitudinal Mixed Models for Count Data
Longitudinal Mixed Models for Binary Data
Familial Longitudinal Models for Count Data
Familial Longitudinal Models for Binary Data
ISBN:9781441983428
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Biometrics , Statistical methods , Mathematical statistics , Econometrics , Social sciences Methodology
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2011-9781441977625:ONLINE Show nearby items on shelf
Title:Forest Analytics with R [electronic resource] : An Introduction
Author(s): Andrew P Robinson
Jeff D Hamann
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt aproblem-driven approach, in whic h statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, whichprovide compelling examples of practical applications. Th e modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximumlikelihood, fitting allometric functions using both linear and non-linear leas t-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and usingforest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class inforest biometrics or applied statistics for natural resources management. The text assumes no programming background, some intr oductory statistics, and very basic applied mathematics. Andrew Robinson has been associate professor offorest mensuration and forest biometrics at the University of Idaho, and is currently senior lecturer in applied statistics at the University of Melbou rne. He received his PhD in forestry from the University of Minnesota. Robinson isauthor of the popular and freely-available icebreakeR document. Jeff Hamann has been a software developer, forester, and financial analyst. He is currently a consultant spec ializing in forestry, operations research, and geographicinformation sciences. He received his PhD in forestry from Oregon State University. Both authors have presented numerous R workshops to forestr
Note:Springer eBooks
Contents:Introduction
Forest data management
Data analysis for common inventory methods
Imputation and Interpolation
Fitting dimensional distributions
Linear and non
linear models
Fitting linear hierarchical models
Simulations
Forest estate planning and optimization
ISBN:9781441977625
Series:e-books
Series:SpringerLink (Online service)
Series:Use R
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Forests and forestry , Environmental sciences
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2011-9781441973382:ONLINE Show nearby items on shelf
Title:The Fundamentals of Modern Statistical Genetics [electronic resource]
Author(s): Nan M Laird
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendels first experiments to genome-wideassociation studies, the book de scribes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation,linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intendedaudience is statisticians, biostatisticians, epidemiologists and quantitatively- orien ted geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or topursue research in methodology. A background in intermediate level statistical methods is required. The aut hors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels.No background in genetics is assumed. Dr. Laird is a Professor of Biostatistics in the Biostatistics Department at the Harvard Sc hool of Public Health. Dr. Laird has contributed to methodology in many different fields, includingmissing data, EM-algorithm, meta-analysis, statistical genetics, and has coauthored a book with Garrett Fitzmaurice and James Ware on Applied Longitudinal A nalysis. She is the recipient of many awards and prizes, including Fellow ofthe American Statistical Association, the American Association for the Advancement of Science, the Florence Nightingale Award, and the Janet Norwood Award. Dr. Lange is an Associa te Professor in the Biostatistics Department at theHarvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistica
Note:Springer eBooks
Contents:Introduction to statistical genetics and background in molecular genetics
Principles of inheritance: mendel's laws and genetic models
Some basic concepts from population genetics
Aggregation, heritability and segregation analysis: modeling genetic inheritance without genetic data
The general concepts of gene mapping: Linkage, association, linkage disequilibrium and marker maps
Basic concepts of linkage analysis
The basics of genetic association analysis
Population substructure in association studies
Association analysis in family designs
Advanced topics
Genome wid
ISBN:9781441973382
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Human genetics , Epidemiology , Biometrics , Statistical methods
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2011-9780857297488:ONLINE Show nearby items on shelf
Title:Computer Vision Using Local Binary Patterns [electronic resource]
Author(s): Matti Pietikinen
Abdenour Hadid
Guoying Zhao
Timo Ahonen
Date:2011
Publisher:London : Springer London : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3Dtextures and spatiote mporal (dynamic) textures. Also, where texture was once utilized for applications such as remote sensing, industrial inspection and biomedical image analysis, the introduction of LBP-based approaches have providedoutstanding results in problems relating t o face and activity analysis, with future scope for face and facial expression recognition, biometrics, visual surveillance and video analysis. Computer Vision Using Local Binary Patternsprovides a detailed description of the LBP methods and their varian ts both in spatial and spatiotemporal domains. This comprehensive reference also provides an excellent overview as to how texture methods can be utilized for solvingdifferent kinds of computer vision and image analysis problems. Source codes of the basic LBP algorithms, demonstrations, some databases and a comprehensive LBP bibliography can be found from an accompanying web site. Topics include: - Local binary patterns and their variants in spatial and spatiotemporal domains - Texture classification and s egmentation, description of interest regions - Applications in image retrieval and 3D recognition - Recognition andsegmentation of dynamic textures - Background subtraction, recognition of actions - Face analysis using still images and image sequences, vi sual speech recognition - LBP in various applications Written by pioneers of LBP, this bookis an essential resource for researchers, professional engineers and graduate students in computer vision, image analysis and pattern recognition. The book will al so be of interest to all those who work with specific applications ofmachine vision
Note:Springer eBooks
Contents:Background
Local binary patterns for still images
Spatiotemporal LBP
Texture classification and segmentation
Description of interest regions
Applications in image retrieval and 3D recognition
Recognition and segmentation of dynamic textures
Background subtraction
Recognition of actions
Face analysis using still images
Face analysis using image sequences
Visual recognition of spoken phrases
LBP in different applications
ISBN:9780857297488
Series:e-books
Series:SpringerLink (Online service)
Series:Computational Imaging and Vision, 1381-6446 : v40
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer vision , Optical pattern recognition , Biometrics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2010-9781441971708:ONLINE Show nearby items on shelf
Title:Regression with Linear Predictors [electronic resource]
Author(s): Per Kragh Andersen
Lene Theil Skovgaard
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This text provides, in a non-technical language, a unified treatment of regression models for different outcome types, such as linear regression, logistic regression, and Cox regression. This is done by focusing on the manycommon aspects of these mod els, in particular the linear predictor, which combines the effects of all explanatory variables into a function which is linear in the unknown parameters. Specification and interpretation of various choicesof parametrization of the effects of the covaria tes (categorical as well as quantitative) and interaction among these are elaborated upon. The merits and drawbacks of different link functions relating the linear predictor to theoutcome are discussed with an emphasis on interpretational issues, and the fact that different research questions arise from adding or deleting covariates from the model is emphasized in both theory and practice. Regression models witha linear predictor are commonly used in fields such as clinical medicine, epidemiology, and pub lic health, and the book, including its many worked examples, builds on the authors' more than thirty years of experience as teachers,researchers and consultants at a biostatistical department. The book is well-suited for readers without a solid mathemati cal background and is accompanied by Web pages documenting in R, SAS, and STATA, the analyses presented throughoutthe text. The authors are since 1978 affiliated with the Department of Biostatistics, University of Copenhagen. Per Kragh Andersen is profess or he is a co-author of the Springer book Statistical Models Based on Counting Processes,and has served on editorial boards on several statistical journals. Lene Theil Skovgaard is associate professor she has considerable experience as teacher and consult ant, and has served on the editorial board of Biometrics
Note:Springer eBooks
Contents:Introduction
Statistical models and inference
Regression models with one categorical covariate
A single quantitative covariate
Multiple regression, the linear predictor
Model building
Other link functions and other types of outcome
Further topics
ISBN:9781441971708
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776 : v0
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2010-9781441915726:ONLINE Show nearby items on shelf
Title:Statistical Methods for Disease Clustering [electronic resource]
Author(s): Toshiro Tango
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The development of powerful computing environment and the geographical information system (GIS) in recent decades has thrust the analysis of geo-referenced disease incidence data into the mainstream of spatial epidemiology. Thisbook offers a modern p erspective on statistical methods for detecting disease clustering, an indispensable procedure to find a statistical evidence on aetiology of the disease under study. With increasing public health concerns aboutenvironmental risks, the need for sophistica ted methods for analyzing spatial health events is immediate. Furthermore, the research area of statistical methods for disease clustering now attracts a wide audience due to the perceivedneed to implement wide-ranging monitoring systems to detect possibl e health-related events such as the occurrence of the severe acute respiratory syndrome (SARS), pandemic influenza and bioterrorism As an invaluable resource for a widerange of audience including public health researchers, epidemiologists and biostatistia ns, this book features: A concise introduction to basic concepts of disease clustering/clusters A historical overview of methods for diseaseclustering A detailed treatment of selected methods useful for practical investigation of disease clustering Analys is and illustration of methods for a variety of real data sets Toshiro Tango, Ph.D., is the Director of Department ofTechnology Assessment and Biostatistics of National Institute of Public Health, Japan. He has published a number of methodological and app lied articles on various aspects of biostatistics. He is Past President of the Japanese Region ofthe International Biometric Society. He has served as Associate Editor for several journals including Statistics in Medicine and Biometrics
Note:Springer eBooks
Contents:Introduction
Clustering and clusters
Disease mapping: Visualization of spatial clustering
Tests for temporal clustering
General tests for spatial clustering: Regional count data
General tests for spatial clustering: Case
control point data
Tests for space
time clustering
Focused tests for spatial clustering
Space
time scan statistics
ISBN:9781441915726
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Oncology , Epidemiology , Biometrics , Statistical methods
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2010-9781441904683:ONLINE Show nearby items on shelf
Title:Multivariate Nonparametric Methods with R [electronic resource] : An approach based on spatial signs and ranks
Author(s): Hannu Oja
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysisrelying on the assumptio n of multivariate normality the regular L2 norm is just replaced by different L1 norms, observation vectors are replaced by spatial signs and ranks, and so on. A unified methodology starting with the simpleone-sample multivariate location problem and proc eeding to the general multivariate multiple linear regression case is presented. Companion estimates and tests for scatter matrices are considered as well. The R package MNM is availablefor computation of the procedures. This monograph provides an up-to-d ate overview of the theory of multivariate nonparametric methods based on spatial signs and ranks. The classical book by Puri and Sen (1971) uses marginal signs andranks and different type of L1 norm. The book may serve as a textbook and a general referen ce for the latest developments in the area. Readers are assumed to have a good knowledge of basic statistical theory as well as matrix theory.Hannu Oja is an academy professor and a professor in biometry in the University of Tampere. He has authored and c oauthored numerous research articles in multivariate nonparametrical and robust methods as well as in biostatistics
Note:Springer eBooks
Contents:Introduction
Multivariate location and scatter models
Location and scatter functionals and sample statistics
Multivariate signs and ranks
One
sample problems: Hotellings T2
test
One
sample problem: Spatial sign test and spatial median
One
sample problem: Spatial signed
rank test and Hodges
Lehmann estimate
One
sample problem: Comparisons of tests and estimates
One
sample problem: Inference for shape
Multivariate tests of independence
Several
sample location problem
Randomized blocks
Multivariate linear regression
Analysis of cluster
correlated data
ISBN:9781441904683
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v199
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer simulation , Biometrics , Computer science Mathematics , Mathematical statistics , Econometrics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2009-9780387689029:ONLINE Show nearby items on shelf
Title:Maximum Penalized Likelihood Estimation [electronic resource] : Volume II: Regression
Author(s): Vincent N LaRiccia
Paul P Eggermont
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is the second volume of a text on the theory and practice of maximum penalized likelihood estimation. It is intended for graduate students in statistics, operations research and applied mathematics, as well as for researchersand practitioners in the field. The present volume deals with nonparametric regression. The emphasis in this volume is on smoothing splines of arbitrary order, but other estimators (kernels, local and global polynomials) pass review aswell. Smoothing splines and local polyno mials are studied in the context of reproducing kernel Hilbert spaces. The connection between smoothing splines and reproducing kernels is of course well-known. The new twist is that letting theinnerproduct depend on the smoothing parameter opens up new p ossibilities. It leads to asymptotically equivalent reproducing kernel estimators (without qualifications), and thence, via uniform error bounds for kernel estimators, touniform error bounds for smoothing splines and via strong approximations, to confiden ce bands for the unknown regression function. The reason for studying smoothing splines of arbitrary order is that one wants to use them for dataanalysis. Regarding the actual computation, the usual scheme based on spline interpolation is useful for cubic smoothing splines only. For splines of arbitrary order, the Kalman filter is the most important method, the intricacies ofwhich are explained in full. The authors also discuss simulation results for smoothing splines and local and global polynomials for a variety of test problems as well as results on confidence bands for the unknown regression functionbased on undersmoothed quintic smoothing splines with remarkably good coverage probabilities. P.P.B. Eggermont and V.N. LaRiccia are with the Statistics P rogram of the Department of Food and Resource Economics in the College ofAgriculture and Natural Resources at the University of Delaware, and the authors of Maximum Penalized Likelihood Estimation: Volu
Note:Springer eBooks
Contents:Smoothing splines of arbitrary order
Deterministic and random designs
Reproducing kernel Hilbert spaces, equivalent reproducing kernel estimators
Strong approximation and confidence bands
Computing: the Bayesian model and the Kalman filter
Other estimators: kernels, sieves, local polynomials, least
absolute deviations, total
variation penalized least squares
Simulations and examples
ISBN:9780387689029
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Biometrics , Statistical methods , Computer science Mathematics , Mathematical statistics , Econometrics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2008-9780387732510:ONLINE Show nearby items on shelf
Title:Studying Human Populations [electronic resource] : An Advanced Course in Statistics
Author(s): Nicholas T Longford
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Studying Human Populations is a textbook for graduate students and research workers in social statistics and related subject areas. It follows a novel curriculum developed around the basic statistical activities of sampling,measurement and inference. Statistics is defined broadly as making decisions in the presence of uncertainty that arises as a consequence of limited resources available for collecting information. A connecting link of the presentedmethods is the perspective of missing information, catering for a diverse class of problems that include nonresponse, imperfect measurement and causal inference. In principle, any problem too complex for our limited analytical toolkitcould be converted to a tractable problem if some additional information were available. Ingenuity is called for in declaring such (missing) information constructively, but the universe of problems that we can address is wide open, notlimited by a discrete set of procedures. The monograph aims to prepare the reader for the ca reer of an independent social statistician and to serve as a reference for methods, ideas for and ways of studying human populations:formulation of the inferential goals, design of studies, search for the sources of relevant information, analysis and pres entation of results. Elementary linear algebra and calculus are prerequisites, although the exposition is quiteforgiving, especially in the first few chapters. Familiarity with statistical software at the outset is an advantage, but it can be developed co ncurrently with studying the text. Nicholas T. Longford directs the statistical researchand consulting company SNTL in Reading, England. He had held senior research posts at the Educational Testing Service, Princeton, NJ, and De Montfort University, Leice ster, England. He was awarded the first Campion Fellowship by theRoyal Statistical Society (2000-2002). He is a member of the editorial boards of the British Journal of Mathematical and Statistical Psyc
Note:Springer eBooks
Contents:Anova and Ordinary Regression
Maximum Likelihood Estimation
Sampling Methods
The Bayesian Paradigm
Incomplete Data
Imperfect Measurement
Experiments and Observational Studies
Clinical Trials
Random Coefficients
Generalised Linear Models
Longitudinal and Time
Series Analysis
Meta
Analysis and Estimating Many Quantities
ISBN:9780387732510
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Electronic data processing , Computer simulation , Biometrics , Mathematical statistics , Psychometrics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2008-9780387728353:ONLINE Show nearby items on shelf
Title:The Frailty Model [electronic resource]
Author(s): Luc Duchateau
Paul Janssen
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. Frailty models provide a powerful tool to analyse clusteredsurvival data. In contrast to the large number of research publications on frailty models, relatively few statistical software packages contain frailty models. It is demanding for statistical practitioners and graduate students tograsp a good knowledge on frailty models from the e xisting literature. This book provides an in-depth discussion and explanation of the basics of frailty model methodology for such readers. The discussion includes parametric andsemiparametric frailty models and accelerated failure time models. Common tech niques to fit frailty models include the EM-algorithm, penalised likelihood techniques, Laplacian integration and Bayesian techniques. More advanced frailtymodels for hierarchical data are also included. Real-life examples are used to demonstrate how part icular frailty models can be fitted and how the results should be interpreted. The programs to fit all the worked-out examples in thebook are available from the Springer website with most of the programs developed in the freeware packages R and Winbugs. T he book starts with a brief overview of some basic concepts in classical survival analysis, collecting what isneeded for the reading on the more complex frailty models. Luc Duchateau is Associate Professor of Statistics at the Faculty of Veterinary Medici ne of the Ghent University, Belgium. He is board member of the Quetelet Society (BelgianRegion of the International Biometric Society) and of the International Biometric Society Channel Network. He has collaborated extensively with physicians in oncology and allergy, public health workers and veterinarians, and is anauthor of numerous papers in statistical, medical and veterinarian journals. Paul Janssen is Professor of Statistics at the Centre for Stat
Note:Springer eBooks
Contents:Parametric proportional hazards models with gamma frailty
Alternatives for the frailty model
Frailty distributions
The semiparametric frailty model
Multifrailty and multilevel models
Extensions of the frailty model
ISBN:9780387728353
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Oncology , Emerging infectious diseases , Epidemiology , Computer simulation , Biometrics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2007-9780387698137:ONLINE Show nearby items on shelf
Title:Permutation Methods [electronic resource] : A Distance Function Approach
Author(s): Paul W Mielke
Kenneth J Berry
Date:2007
Edition:Second
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Most commonly-used parametric and permutation statistical tests, such as the matched-pairs t test and analysis of variance, are based on non-metric squared distance functions that have very poor robustness characteristics. Thissecond edition places i ncreased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniquesprovide many powerful multivariate tests includi ng multivariate multiple regression analyses. In addition to permutation techniques described in the first edition, this second edition also contains various new permutation statisticalmethods and studies that include resampling multiple contingency table analyses, analysis concerns involving log-linear models with small samples, an exact discrete analog of Fishers continuous method for combining P-values thatarise from small data sets, multiple dichotomous response analyses, problems regarding Fishers Z transformation for correlation analyses, and multivariate similarity comparisons between corresponding multiple categories of twosamples. Paul W. Mielke, Jr. is Professor of Statistics at Colorado State University, and a fellow of the American Statistical Association. Kenneth J. Berry is Professor of Sociology at Colorado State University
Note:Springer eBooks
Contents:Introduction
Description of MRPP
Additional MRPP applications
Description of MRBP
Regression analysis, prediction, and agreement
Goodness
of
Fit tests
Contingency tables
Multisample homogeneity tests
Selected permutation studies
ISBN:9780387698137
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Biometrics , Mathematical statistics , Environmental toxicology , Psychometrics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2007-9780387681542:ONLINE Show nearby items on shelf
Title:Statistical Genetics of Quantitative Traits [electronic resource] : Linkage, Maps, and QTL
Author(s): Rongling Wu
George Casella
Chang-Xing Ma
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, experimental biology, and other fields. Itconcentrates on the li nkage analysis of markers, map construction and quantitative trait locus (QTL) mapping and assumes a background in regression analysis and maximum likelihood approaches. The strengths of this book lie in theconstruction of general models and algorithms fo r linkage analysis and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops and plant and animal model systems or outbred lines in forest trees and wildlifespecies. The book includes a detailed description of each approach and the step-by-step demonstration of live-example analyses designed to explain the utilization and usefulness of statistical methods. The book also includes exercisesets and computer codes for all the analyses used. This book can serve as a textbook for gra duates and senior undergraduates in genetics, agronomy, forest biology, plant breeding and animal sciences. It will also be useful toresearchers and other professionals in the areas of statistics, biology and agriculture. Rongling Wu is Associate Professo r of Statistics at the University of Florida, Gainesville. He currently serves as Associate Editor for sixgenetics and bioinformatics journals. Chang-Xing Ma is Assistant Professor of Biostatistics at the State University of New York at Buffalo. George Ca sella is Distinguished Professor of Statistics and Distinguished Member of theGenetics Institute at the Univesity of Florida, Gainesville. He is a fellow of the American Statistical Association and the Institute of Mathematical Sciences, and the author of four other statistics books
Note:Springer eBooks
Contents:Basic Genetics
Basic Statistics
Linkage Analysis and Map Construction
A General Model for Linkage Analysis in Controlled Crosses
Linkage Analysis with Recombinant Inbred Lines
Linkage Analysis for Distorted and Misclassified Markers
Special Considerations in Linkage Analysis
The Structure of QTL Mapping
Marker Analysis of Phenotypes
Regression
Based Interval Mapping
Maximum Likelihood Interval Mapping
Threshold and Precision Analysis
Composite QTL Mapping
QTL Mapping in Outbred Pedigrees
ISBN:9780387681542
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Life sciences , Biometrics , Bioinformatics , Plant breeding , Animal genetics , Genetics Mathematics , Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2006-9781402040580:ONLINE Show nearby items on shelf
Title:Biosensing [electronic resource]
Author(s): Jerome Schultz
Milan Mrksich
Sangeeta N Bhatia
David J Brady
Antonio J Ricco
David R Walt
Charles L Wilkins
Date:2006
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The goal of this book is to disseminate information on the worldwide status and trends in biosensing R&D to government decisionmakers and the research community. The contributors critically analyze and compare biosensing researchin the United States with that being pursued in Japan, Europe and other major industrialized countries. Biosensing includes systems that incorporate a variety of means, including electrical, electronic, and photonic devices biologicalmaterials (e.g., tissue, enzymes, nucleic acids, etc.) and chemical analysis to produce detectable signals for the monitoring or identification of biological phenomena. In a broader sense, the study of biosensing includes any approachto detection of biological elements and the associated software or computer identification technologies (e.g., imaging) that identify biological characteristics. Biosensing is finding a growing number of applications in a wide varietyof areas, including biomedicine, food production and processing, and detection of ba cteria, viruses, and biological toxins for biowarfare defense. Subtopics likely to be covered in this study include the following: Nucleic acid sensorsand DNA chips and arrays, organism- and cell-based biosensors, bioelectronics and biometrics, biointerfa ces and biomaterials biocompatibility and biofouling, integrated, multi-modality sensors and sensor networks, system issues,including signal transduction, data interpretation, and validation, novel sensing algorithms, e.g., non-enzyme-based sensors for gl ucose, mechanical sensors for prosthetics, related issues in bio-MEMS and NEMS (microelectromechanicaland nanoelectromechanical systems), possibly including actuators, applications in biomedicine, the environment, food industry, security and defense. Part icular emphasis will be on technologies that may lead to portable or fieldabledevices/instruments. Important consideration will be given to an integrated approach to detection, storage, analysis, val
Note:Springer eBooks
Contents:Executive summary
Infrastructure overview
Optical biosensing
Electro
based sensors and surface engineering
Cell and tissue
based sensors
Mass spectrometry and biosensing research
Microfabricated biosensing devices: MEMS, microfluidics, mass sensors
Information systems for biosensing
Appendices
ISBN:9781402040580
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Animal Physiology , Neurobiology
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2006-9780387352091:ONLINE Show nearby items on shelf
Title:Statistical Methods in Counterterrorism [electronic resource] : Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication
Author(s): Alyson G Wilson
Gregory D Wilson
David H Olwell
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:All the data was out there to warn us of this impending attack, why didn't we see it? This was a frequently asked question in the weeks and months after the terrorist attacks on the World Trade Center and the Pentagon onSeptember 11, 2001. In the wak e of the attacks, statisticians moved quickly to become part of the national response to the global war on terror. This book is an overview of the emerging research program at the intersection of nationalsecurity and statistical sciences. A wide range of talented researchers address issues in . Syndromic Surveillance---How do we detect and recognize bioterrorist events? . Modeling and Simulation---How do we better understand andexplain complex processes so that decision makers can take the best course of action? . Biometric Authentication---How do we pick the terrorist out of the crowd of faces or better match the passport to the traveler? . Game Theory---Howdo we understand the rules that terrorists are playing by? This book includes technical treatments of statistical issues that will be of use to quantitative researchers as well as more general examinations of quantitative approaches tocounterterrorism that will be accessible to decision makers with stronger policy backgrounds. Dr. Alyson G. Wilson is a statistician and the technical lead for DoD programs in the Statistical Sciences Group at Los Alamos NationalLaboratory. Dr. Gregory D. Wilson is a rhetorician and ethnographer in the Statistical Sciences Group at Los Alamos National Laboratory. Dr. Dav id H. Olwell is chair of the Department of Systems Engineering at the Naval PostgraduateSchool in Monterey, California
Note:Springer eBooks
Contents:Game Theory
Game Theory in an Age of Terrorism: How Can Statisticians Contribute?
Combining Game Theory and Risk Analysis in Counterterrorism: A Smallpox Example
Game
Theoretic and Reliability Methods in Counterterrorism and Security
Biometric Authentication
Biometric Authentication
Towards Statistically Rigorous Biometric Authentication Using Facial Images
Recognition Problem of Biometrics: Nonparametric Dependence Measures and Aggregated Algorithms
Syndromic Surveillance
Data Analysis Research Issues and Emerging Public Health Biosurveillance Directions
Current
ISBN:9780387352091
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Optical pattern recognition , Mathematics , Operations research , Mathematical statistics , Economics, Mathematical
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2006-9780387280011:ONLINE Show nearby items on shelf
Title:Optical Imaging Sensors and Systems for Homeland Security Applications [electronic resource]
Author(s): Bahram Javidi
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Optical and photonic systems and devices have significant potential for homeland security. Optical Imaging Sensors and Systems for Homeland Security Applications presents original and significant technical contributions fromleaders of industry, gover nment, and academia in the field of optical and photonic sensors, systems and devices for detection, identification, prevention, sensing, security, verification and anti-counterfeiting. The chapters haverecent and technically significant results, ample il lustrations, figures, and key references. This book is intended for engineers and scientists in the relevant fields, graduate students, industry managers, university professors,government managers, and policy makers. Advanced Sciences and Technologies for Security Applications focuses on research monographs in the areas of -Recognition and identification (including optical imaging, biometrics, authentication,verification, and smart surveillance systems) -Biological and chemical threat detection (including biosensors, aerosols, materials detection and forensics), and -Secure information systems (including encryption, and optical andphotonic systems). The series is intended to give an overview at the highest research level of the frontier of research in the physical sciences
Note:Springer eBooks
Contents:Three
Dimensional Object Reconstruction and Recognition Techniques Based on Digital Holography
Compression of Encrypted Digital Holograms using Artificial Neural Networks
Digital Hoplography: Recent Advancements and Prospective Improvements for Applications in Microscopy
Hybrid Optical Encryption of a 3D Object by Use of a Digital Holographic Technique
3D Object Recognition using Gabor Feature Extraction and PCA
FLD Projections of Holographically Sensed Data
Distortion
tolerant 3D Volume Recognition Using X
ray Imaging
Three
dimensional Imaging and Recognition of Bacteria usi
ISBN:9780387280011
Series:e-books
Series:SpringerLink (Online service)
Series:Advanced Sciences and Technologies for Security Applications, 1613-5113 : v2
Series:Physics and Astronomy (Springer-11651)
Keywords: Laser physics , Physical optics , Microwaves
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2005-9780387250960:ONLINE Show nearby items on shelf
Title:Optical and Digital Techniques for Information Security [electronic resource]
Author(s): Bahram Javidi
Date:2005
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Optical and Digital Techniques for Information Security is the first book in a series focusing on Advanced Sciences and Technologies for Security Applications. This book encompases the results of research investigation andtechnologies used to secure, verify, recognize, track, and authenticate objects and information from theft, counterfeiting, and manipulation by unauthorized persons and agencies. This Information Security book will draw on the diverseexpertise in optical sciences and engineering, di gital image processing, imaging systems, information processing, computer based information systems, sensors, detectors, and biometrics to report innovative technologies that can beapplied to information security issues. The Advanced Sciences and Technolo gies for Security Applications series focuses on research monographs in the areas of: -Recognition and identification (including optical imaging, biometrics,authentication, verification, and smart surveillance systems) -Biological and chemical threat dete ction (including biosensors, aerosols, materials detection and forensics) -Secure information systems (including encryption, and opticaland photonic systems). The series is intended to give an overview at the hightest research level at the frontier of res earch in the physical sciences
Note:Springer eBooks
Contents:Quantum Cryptography
New OVDs for Personalized Documents Based on Color Holography and Lippmann Photography
Distortion and Noise Robust Digital Watermarking Using Input and Fourier Plane Phase Encoding
Steganography and Encryption Systems Based on Spatial Correlators with Meaningful Output Images
Optoelectronic Information Encryption with Incoherent Light
Information Hiding: Steganography and Watermarking
Watermarking Streaming Video: The Temporal Synchronization Problem
Secure Display Using Encrypted Digital Holograms
Compression of Digital Holograms for Secure Three
D
ISBN:9780387250960
Series:e-books
Series:SpringerLink (Online service)
Series:Advanced Sciences and Technologies for Security Applications, 1613-5113 : v1
Series:Physics and Astronomy (Springer-11651)
Keywords: Electromagnetism , Laser physics , Physical optics , Microwaves
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1997-9781468463163:ONLINE Show nearby items on shelf
Title:Proceedings of the First Seattle Symposium in Biostatistics Survival Analysis
Author(s):
Date:1997
Size:1 online resource (309 p.)
Note:10.1007/978-1-4684-6316-3
Contents:Some remarks on the analysis of survival data -- Multivariate failure time data: Representation and analysis -- Analysis of multivariate survival times with non-proportional hazards models -- Analysis of mean and rate functions for
recurrent events -- Extending the Cox model -- Model-based and/or marginal analysis for multiple event-time data -- Artificial insemination by donor: discrete time survival data with crossed and nested random effects -- Interval
censored survival data: A review of recent progress -- Singly and doubly censored current status data with extensions to multistate counting processes -- Additive hazards regression models for survival data -- Some exploratory tools
for survival analysis -- Survival analysis in the regulatory setting -- Proposed strategies for designing and analyzing sepsis trials -- Coarsening at random: characterizations, conjectures, counter-examples -- Sequential models for
coarsening and missingness -- Addresses for Contact Authors -- List of Referees
ISBN:9781468463163
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Statistics: 123
Keywords: Statistics , Epidemiology , Biometrics (Biology) , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Biometrics , Epidemiology
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Return to the Fermilab Library catalog