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 TIME-SERIES ANALYSIS *END*INIT* use /tmp/qspiwww.webspi1/3999.92 QRY 131.225.70.96 . find keyword time-series analysis ( in books using www Cover
Image
Call number:SPRINGER-2013-9781461458975:ONLINE Show nearby items on shelf
Title:Statistics for Business and Financial Economics [electronic resource]
Author(s): Cheng-Few Lee
John C Lee
Alice C Lee
Date:2013
Edition:3rd ed. 2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Statisticsfor Business and Financial Economics, 3rd edition is the definitive Business Statistics bookto useFinance, Economics, and Accounting data throughout the entire book. Therefore, this book gives students anunderstanding of how to apply the me thodology of statistics to real world situations. In particular, this book shows how descriptive statistics, probability, statistical distributions, statistical inference, regression methods, andstatistical decision theory can be used to analyze individua l stock price, stock index, stock rate of return, market rate of return, and decision making. In addition, this book also shows how time-series analysis and the statisticaldecision theory method can be used to analyze accounting and financial data. In thi s fully-revised edition, the real world examples have been reconfigured and sections have beenedited for better understanding of the topics
Note:Springer eBooks
Contents:Introduction and Descriptive Statistics
Probability and Important Distributions
Statistical Inferences Based on Samples
Regression and Correlation: Relating Two or More Variables
Selected Topics in Statistical Analysis for Business and Economics
Appendices
Index
ISBN:9781461458975
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics , Finance
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-2012-9783642210372:ONLINE Show nearby items on shelf
Title:Advanced Statistical Methods for the Analysis of Large Data-Sets [electronic resource]
Author(s): Agostino Di Ciaccio
Mauro Coli
Jose Miguel Angulo Ibanez
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Many research studies in the social and economic fields regard the collection and analysis of large amounts of data. These data sets vary in their nature and complexity, they may be one-off or repeated, they may be hierarchical,spatial or temporal. E xamples include textual data, transaction-based data, medical data and financial time-series. Standard statistical techniques are usually not well suited to manage this type of data and many authors have proposedextensions of classical techniques or compl etely new methods. The huge size of these data-sets and their complexity require new strategies of analysis sometimes subsumed under the terms data mining or predictive analytics.This volume contains a peer review selection of papers, whose preliminary ve rsion was presented at the international meeting of the Italian Statistical Society Statistical Methods for the analysis of large data-sets. It collectsnew ideas, methods and original applications to deal with the complexity and high dimensionality of dat a
Note:Springer eBooks
Contents:Part I Clustering Large Data
Sets: Clustering Large Data Set: An Applied Comparative Study (Bocci L., Mingo I.)
Clustering in Feature Space for Interesting Pattern Identification of Categorical Data (Marino M., Palumbo F., Tortora C.)
Clustering geostatistical functional data (Romano E., Verde R.)
Joint Clustering and Alignment of Functional Data: An Application to Vascu
lar Geometries (Sangalli L.M., Secchi P., Vantini S., Vitelli V.)
Part II Statistics in Medicine: Bayesian Methods for Time Course Microarray Analysis: From Genes Detection to Clustering (Angelini C., De Canditi
ISBN:9783642210372
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Theoretical and Applied Statistics
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics 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-2012-9781461437734:ONLINE Show nearby items on shelf
Title:Financial Decision Making Using Computational Intelligence [electronic resource]
Author(s): Michael Doumpos
Constantin Zopounidis
Panos M Pardalos
Date:2012
Publisher:Boston, MA : Springer US : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Financial Decision Making Using Computational Intelligence covers all the recent developments in complex financial decision making through computational intelligence approaches. Computational intelligence has evolved rapidly inrecent years and it is now one of the most active fields in operations research and computer science. The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to applytraditional modeling and algorithmic procedures. In th is context, the field of computational intelligence provides a wide range of useful techniques, including new modeling tools for decision making under risk and uncertainty, datamining techniques for analyzing complex data bases, and powerful algorithms fo r complex optimization problems. This book presents the recent advances made in financial decision making using computational intelligence, covering bothnew methodological developments as well as new emerging application areas. This work covers a wide ra nge of topics related to financial decision making, financial modeling, risk management, and financial engineering, includingalgorithmic trading, financial time-series analysis, asset pricing, portfolio management, auction markets, and insurance services. Practitioners in the financial industry as well as operations researchers, management scientists, anddata analysts will find this publication highly useful
Note:Springer eBooks
Contents:Preface
List of Contributors
1. Statistically Principled Application of Computational Intelligence Techniques for Finance (J.V. Healy)
2. Can Artificial Traders Learn and Err Like Human Traders? A New Direction for Computational Intelligence in Behavioral Finance (S
H. Chen, K
C. Shih, C
C. Tai)
3. Application of Intelligent Systems for News Analytics (C. Bozic, S. Chalup, D. Seese)
4. Modelling and Trading the Greek Stock Market with Hybrid ARMA
Neural Network Models (C. L. Dunis, J. Laws, A. Karathanasopoulos)
5. Pattern Detection and Analysis in Financial Time Series Us
ISBN:9781461437734
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v70
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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-2012-9781441998576:ONLINE Show nearby items on shelf
Title:Business Statistics for Competitive Advantage with Excel 2010 [electronic resource] : Basics, Model Building, and Cases
Author(s): Cynthia Fraser
Date:2012
Edition:2nd ed. 2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics toprovide information on perf ormance response under alternative scenarios. This updated edition ofthe populartext helps business students develop competitive advantages for use in their future careers as decision makers. Studentslearn to build models using logic and experience, produ ce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain Englishand with compelling graphics in the form of memos and PowerPoints. Statisti cs, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number ofexamples focus on business in emerging global markets with particular emphasis on China and India . Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared.Chapters include screenshots to make it easy to conduct analyses in Excel 2010 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. MonteCarlo simulation is introduced early, as a tool to illustrate the range of possible outcomes from decision makers assumptions and underlyin g uncertainties. Model building with regression is presented as a process, adding levels ofsophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent se gment differences, and seasonality, structural shifts or shocks in timeseries models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conj
Note:Springer eBooks
Contents:Statistics for Decision Making and Competitive Advantage
Describing Your Data
Hypothesis Tests, Confidence Intervals and Simulation to Infer Population Characteristics and Differences
Quantifying the Influence of Performance Drivers and Forecasting: Regression
Marketing Sgementation with Descriptive Statistics, Inference, Hypothesis Tests and Regression
Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression
Association between Two Categorical Variables: Contingency Analysis with Chi Square
Building Multiple Regression
ISBN:9781441998576
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics 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-2011-9783642165214:ONLINE Show nearby items on shelf
Title:Statistics of Financial Markets [electronic resource] : An Introduction
Author(s): Jrgen Franke
Wolfgang Karl Hrdle
Christian Matthias Hafner
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical application in finance. The reader will learn the basic methods of evaluating option contracts, analysing financial timeseries, selecting port folios and managing risks making realistic assumptions of the market behaviour. The focus is both on the fundamentals of mathematical finance and financial time series analysis and on applications to givenproblems of financial markets, thus making the boo k the ideal basis for lecturers, seminars and crash courses on the topic. For the third edition the book has been updated and extensively revised. Several new aspects have beenincluded: new chapters on long memory models, copulae and CDO valuation. Practi cal exercises have been added, the solutions of which are provided in the book by S. Borak, W. Hrdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4.Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Informa tion tab labeled R and Matlab Code, which you will find on the right-hand side of the webpage.
Note:Springer eBooks
Contents:Option Pricing
Statistical Models of Financial Time Series
Selected Financial Applications
Technical Appendix
Appendix
Frequently Used Notations
Index
ISBN:9783642165214
Series:e-books
Series:SpringerLink (Online service)
Series:Universitext
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Finance , Economics Statistics , Banks and banking
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-2011-9781441978653:ONLINE Show nearby items on shelf
Title:Time Series Analysis and Its Applications [electronic resource] : With R Examples
Author(s): Robert H Shumway
David S Stoffer
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:Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problemssuch as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The book is designed to be useful as a text forgraduate level students in the physical, biological and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allowpresentations on different levels. In addition to coverage of class ical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical timeseries analysis, multivariate spectral methods, long memory series, nonlinear models, resamplin g techniques, GARCH models, stochastic volatility, wavelets and Markov chain Monte Carlo integration methods. The third edition includes anew section on testing for unit roots and the material on state-space modeling, ARMAX models, and regression with aut ocorrelated errors has been expanded. Also new to this edition is the enhanced use of the freeware statistical packageR. In particular, R code is now included in the text for nearly all of the numerical examples. Data sets and additional R scripts are now provided in one file that may be downloaded via the World Wide Web. This R supplement is asmall compressed file that can be loaded easily into R making all the data sets and scripts available to the user with one simple command. The website for the text includes the code used in each example so that the reader may simplycopy-and-paste code directly into R. Appendix R, which is new to this edition, provides a reference for the data sets an
Note:Springer eBooks
Contents:Characteristics of time series
Time series regression and exploratory data analysis
ARIMA models
Spectral analysis and filtering
Additional time domain topics
State
space models
Statistical methods in the frequency domain
ISBN:9781441978653
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
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-2011-9781441969873:ONLINE Show nearby items on shelf
Title:Transient Chaos [electronic resource] : Complex Dynamics on Finite Time Scales
Author(s): Ying-Cheng Lai
Tams Tl
Date:2011
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book represents the first comprehensive treatment of Transient Chaos. It gives an overview of the subject based on three decades of intensive research. One special emphasis is on applications, and the fact that certaininteresting dynamical pheno mena can be understood only in the framework of transient chaos. Specific topics treated include basic concepts and characterization of transient chaos, crises, fractal basin boundaries, chaotic scattering,noise-induced chaos, chaotic advections and the s preading of pollutants in fluid flows, quantum chaotic scattering, spatiotemporal chaotic transients and turbulence, controlling transient chaos, and analysis of transient chaotic timeseries, etc. Materials in the book reflect the most recent advances in the field. Case studies and examples are included in each chapter with relevant experimental evidence wherever appropriate. The book is intended for researchers andgraduate students in Physics, Engineering, Applied Mathematics, and Biomedical Sciences. Yi ng-Cheng Lai is a Professor of Electrical Engineering and Professor of Physics at Arizona State University, USA and a Sixth Century Chair inElectrical Engineering at the University of Aberdeen, UK. Tams Tl is a Professor of Physics at Etvs University, Bud apest, Hungary
Note:Springer eBooks
Contents:Introduction
Chaotic Saddles
Transition to Transient Chaos
Fractal Basin Boundaries
Classical Chaotic Scattering
Passive and Active Processes in open Chaotic Flows
Quantum Chaotic Scattering and Transport in Nanosctructures
Transient Chaos in High Dimensions
Further Applications and Outlooks
Appendix: Multifractal Properties of Transient Chaos
ISBN:9781441969873
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Mathematical Sciences, 0066-5452 : v173
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differentiable dynamical systems
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-2008-9783790820843:ONLINE Show nearby items on shelf
Title:COMPSTAT 2008 [electronic resource] : Proceedings in Computational Statistics
Author(s): Paula Brito
Date:2008
Publisher:Heidelberg : Physica-Verlag HD
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume presents recent methodological developments in Applied/Computational Statistics. A wide range of topics is covered including Advances on Statistical Computing Environments, Classification and Clustering, GraphicalModels and Bayes Nets, Co mputational Econometrics, Data Mining, Model Selection, Latent Class Detection, Multiple Testing Procedures, Random Search Algorithms, Robust Statistics and Signal Extraction and Filtering. Besides theoreticalresults, the book presents a variety of applic ations in fields such as time-series analysis, finance and insurance, micro-array analysis, astronomy and text analysis. Combining new methodological advances with a wide variety of realapplications, this volume is specially valuable for researchers and p ractitioners, providing new analytical tools useful in theoretical research and daily practice in computational statistics and applied statistics
Note:Springer eBooks
Contents:Keynote
Advances on Statistical Computing Environments
Classification and Clustering of Complex Data
Computation for Graphical Models and Bayes Nets
Computational Econometrics
Computational Statistics and Data Mining Methods for Alcohol Studies
Finance and Insurance
Information Retrieval for Text and Images
Knowledge Extraction by Models
Model Selection Algorithms
Models for Latent Class Detection
Multiple Testing Procedures
Random Search Algorithms
Robust Statistics
Signal Extraction and Filtering
Index
Contributed Papers on the CD
Tutorial T
ISBN:9783790820843
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Information storage and retrieval systems , 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-2008-9783540762720:ONLINE Show nearby items on shelf
Title:Statistics of Financial Markets [electronic resource] : An Introduction
Author(s): Jrgen Franke
Wolfgang K Hrdle
Christian M Hafner
Date:2008
Edition:Second Edition
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods to evaluate option contracts, to analyse financial timeseries, to select port folios and manage risks making realistic assumptions of the market behaviour. The focus is both on fundamentals of mathematical finance and financial time series analysis and on applications to given problems offinancial markets, making the book the ideal basis for lectures, seminars and crash courses on the topic. For the second edition the book has been updated and extensively revised. Several new aspects have been included, among others achapter on credit risk management
Note:Springer eBooks
Contents:Option Pricing
Derivatives
to Option Management
Basic Concepts of Probability Theory
Stochastic Processes in Discrete Time
Stochastic Integrals and Differential Equations
Black
Scholes Option Pricing Model
Binomial Model for European Options
American Options
Exotic Options
Models for the Interest Rate and Interest Rate Derivatives
Statistical Models of Financial Time Series
Introduction: Definitions and Concepts
ARIMA Time Series Models
Time Series with Stochastic Volatility
Non
parametric Concepts for Financial Time Series
Selected Financial App
ISBN:9783540762720
Series:e-books
Series:SpringerLink (Online service)
Series:Universitext
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Finance , Economics Statistics , Banks and banking
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-2008-9780387759678:ONLINE Show nearby items on shelf
Title:Analysis of Integrated and Cointegrated Time Series with R [electronic resource]
Author(s): Bernhard Pfaff
Date:2008
Edition:2
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics. This book not only introduces the reader to this topic but enables him to conduct the variousunit root tests and co-i ntegration methods on his own by utilizing the free statistical programming environment R. The book encompasses seasonal unit roots, fractional integration, coping with structural breaks, and multivariate timeseries models. The book is enriched by numerou s programming examples to artificial and real data so that it is ideally suited as an accompanying text book to computer lab classes. The second edition adds a discussion of vectorauto-regressive, structural vector auto-regressive, and structural vector e rror-correction models. To analyze the interactions between the investigated variables, further impulse response function and forecast error variancedecompositions are introduced as well as forecasting. The author explains how these model types relate to each other
Note:Springer eBooks
Contents:Univariate analysis of stationary time series
Multivariate analysis of stationary time series
Non
stationary time series
Cointegration
Testing for the order of integration
Further considerations
Single equation methods
Multiple equation methods
Appendix
Abbreviations, nomenclature and symbols
List of tables
List of figures
List of R code
References
ISBN:9780387759678
Series:e-books
Series:SpringerLink (Online service)
Series:Use R!
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Distribution (Probability theory) , 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-2007-9783764379889:ONLINE Show nearby items on shelf
Title:Cluster Analysis for Data Mining and System Identification [electronic resource]
Author(s): Jnos Abonyi
Balzs Feil
Date:2007
Publisher:Basel : Birkhuser Basel
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents new approaches to data mining and system identification. Algorithms that can be used for the clustering of data have been overviewed. New techniques and tools are presented for the clustering, classification,regression and visualiz ation of complex datasets. Special attention is given to the analysis of historical process data, tailored algorithms are presented for the data driven modeling of dynamical systems, determining the model orderof nonlinear input-output black box models, a nd the segmentation of multivariate time-series. The main methods and techniques are illustrated through several simulated and real-world applications from data mining and processengineering practice. The book is aimed primarily at practitioners, research es, and professionals in statistics, data mining, business intelligence, and systems engineering, but it is also accessible to graduate and undergraduatestudents in applied mathematics, computer science, electrical and process engineering. Familiarity wit h the basics of system identification and fuzzy systems is helpful but not required. Key features: - Detailed overview of the mostpowerful algorithms and approaches for data mining and system identification is presented. - Extensive references give a good overview of the current state of the application of computational intelligence in data mining and systemidentification, and suggest further reading for additional research. - Numerous illustrations to facilitate the understanding of ideas and methods pre sented. - Supporting MATLAB files, available at the websitewww.fmt.uni-pannon.hu/softcomp create a computational platform for exploration and illustration of many concepts and algorithms presented in the book
Note:Springer eBooks
Contents:Classical fuzzy cluster analysis
Visualization of the clustering results
Clustering for fuzzy model identification
Fuzzy clustering for system identification
Fuzzy model based classifiers
Segmentation of multivariate time
series
ISBN:9783764379889
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical statistics , Economics Statistics , 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:QC174.8.H82::2001 Show nearby items on shelf
Title:Introduction to statistical physics
Author(s): Kerson Huang 1928-
Date:2001
Publisher:CRC Press
Size:288 pgs.
Contents:1. The Macroscopic View, 2. Heat and Entropy, 3. Using Thermodynamcis, 4. Phase Transitions, 5. The Statistical Approach, 6. Maxwell-Boltzmann Distriubtion, 7. Transport Phenomena, 8. Quantum Statistics, 9. The Fermi Gas, 10. The Bose Gas, 11. Bose-Einstein Condenstion, 12. Canonical Ensembel, 13. Grand Canonical Ensemble, 14. The Order Parameter, 15. Superfluidity, 16. Noise, 17. Stochastic Processes, 18. Time-Series Analysis
ISBN:0748409424
Keywords: Statistical physics.
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
Location: MAIN

Cover
Image
Call number:QA845.K36::1995 Show nearby items on shelf
Title:Understanding nonlinear dynamics
Author(s): Daniel Kaplan
Leon Glass
Date:1995
Publisher:New York : Springer-Verlag
Size:420 p.
Contents:1. Finite-Difference Equations -- 2. Boolean Networks and Cellular Automata -- 3. Self-Similarity and Fractal Geometry -- 4. One-Dimensional Differential Equations -- 5. Two-Dimensional Differential Equations -- 6. Time-Series Analysis.
ISBN:0387944230
Series:Textbooks in mathematical sciences
Keywords: Dynamics. , Nonlinear theories.
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
Location: MAIN

This book is only available through interlibrary loan. (email library@fnal.gov if you would like this title added to the Library collection.)
Call number:QA280.J45 Show nearby items on shelf
Title:Spectral analysis and its applications
Author(s): Gwilym M. Jenkins
Donald G. Watts
Date:1968
Publisher:Holden-Day, San Francisco
Size:525
Series:Holden-Day series in time series analysis 8
Keywords: Time-series analysis.
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.
Location: ILL

Cover
Image This book is only available through interlibrary loan. (email library@fnal.gov if you would like this title added to the Library collection.)
Call number:QA280.B67::1994 Show nearby items on shelf
Title:Time series analysis : forecasting and control
Author(s): George E.P. Box
Gwilym N. Jenkins
Date:1994
Edition:3rd ed.
Publisher:Prentice Hall, Englewood Cliffs, N.J
ISBN:0130607746
Keywords: Time-series analysis.
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
Location: ILL

Return to the Fermilab Library catalog