Time Series Analysis and Its Applications
The goals of this book are to develop an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing data, and still maintain a commitment to theoretical integrity, as exemplified by the seminal works of Brillinger
- PDF / 49,643,707 Bytes
- 560 Pages / 439.37 x 666.142 pts Page_size
- 112 Downloads / 213 Views
George Casella
Stephen Fienberg
Ingram Olkin
Springer Science+Business Media, LLC
Springer Texts in Statistics Alfred: Elements of Statistics for the Life and Social Sciences Berger: An Introduction to Probability and Stochastic Processes Bilodeau and Brenner: Theory of Multivariate Statistics Blom: Probability and Statistics: Theory and Applications Brockwell and Davis: An Introduction to Times Series and Forecasting Chow and Teicher: Probability Theory: Independence, Interchangeability, Martingales, Third Edition Christensen: Plane Answers to Complex Questions: The Theory of Linear Models, Second Edition Christensen: Linear Models for Multivariate, Time Series, and Spatial Data Christensen: Log-Linear Models and Logistic Regression, Second Edition Creighton: A First Course in Probability Models and Statistical Inference Dean and Voss: Design and Analysis of Experiments du Toit, Steyn, and Stumpf Graphical Exploratory Data Analysis Durrett: Essentials of Stochastic Processes Edwards: Introduction to Graphical Modelling Finkelstein and Levin: Statistics for Lawyers Flury: A First Course in Multivariate Statistics Jobson: Applied Multivariate Data Analysis, Volume 1: Regression and Experimental Design Jobson: Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods Kalbfleisch: Probability and Statistical Inference, Volume 1: Probability, Second Edition Kalbfleisch: Probability and Statistical Inference, Volume II: Statistical Inference, Second Edition Karr: Probability Keyfitz: Applied Mathematical Demography, Second Edition Kiefer: Introduction to Statistical Inference Kokoska and Nevison: Statistical Tables and Formulae Kulkarni: Modeling, Analysis, Design, and Control of Stochastic Systems Lehmann: Elements of Large-Sample Theory Lehmann: Testing Statistical Hypotheses, Second Edition Lehmann and Casella: Theory of Point Estimation, Second Edition Lindman: Analysis of Variance in Experimental Design Lindsey: Applying Generalized Linear Models Madansky: Prescriptions for Working Statisticians McPherson: Statistics in Scientific Investigation: Its Basis, Application, and Interpretation Mueller: Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS (continued after index)
Robert H. Shumway
David S. Stoffer
Time Series Analysis and Its Applications With 152 Figures
'Springer
Robert H. Shumway
David S. Stoffer
Division of Statistics University of California, Davis Davis, CA 95616 USA
Department of Statistics University of Pittsburgh Pittsburg, PA 15260 USA
Editorial Board George Casella
Stephen Fienberg
Ingram Olkin
Department of Biometrics Comeii University Ithaca, NY 14853-780 I USA
Department of Statistics Carnegie Mellon University Pittsburgh, PA 15213-3890 USA
Department of Statistics Stanford University Stanford, CA 94305 USA
Library of Congress Cataloging-in-Publication Data Shumway, Robert H. Time series analysis and its applications I Robert H. Shumway, David S. Stoffer. p. em. - (Springer texts in statistics) Includes bibliograph
