Asymptotic Theory of Statistics and Probability
This book is an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems and probabilistic issues and tools. It is written in an extremely lucid style, with an emphasis on the conceptual discuss
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Springer Texts in Statistics Athreya/Lahiri: Measure Theory and Probability Theory Bilodeau/Brenner: Theory of Multivariate Statistics Brockwell/Davis: An Introduction to Time Series and Forecasting Carmona: Statistical Analysis of Financial Data in S-PLUS Casella: Statistical Design Chow/Teicher: Probability Theory: Independence, Interchangeability, Martingales, Third Edition Christensen: Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization, Second Edition Christensen: Log-Linear Models and Logistic Regression, Second Edition Christensen: Plane Answers to Complex Questions: The Theory of Linear Models, Second Edition Cryer/Chan: Time Series Analysis, Second Edition DasGupta: Asymptotic Theory of Statistics and Probability Davis: Statistical Methods for the Analysis of Repeated Measurements Dean/Voss: Design and Analysis of Experiments Dekking/Kraaikamp/Lopuhaä/Meester: A Modern Introduction to Probability and Statistics Durrett: Essentials of Stochastic Processes Edwards: Introduction to Graphical Modeling, Second Edition Everitt: An R and S-PLUS Companion to Multivariate Analysis Gentle: Matrix Algebra: Theory, Computations, and Applications in Statistics Ghosh/Delampady/Samanta: An Introduction to Bayesian Analysis Gut: Probability: A Graduate Course Heiberger/Holland: Statistical Analysis and Data Display; An Intermediate Course with Examples in S-PLUS, R, and SAS Jobson: Applied Multivariate Data Analysis, Volume I: Regression and Experimental Design Jobson: Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods Karr: Probability Kulkarni: Modeling, Analysis, Design, and Control of Stochastic Systems Lange: Applied Probability Lange: Optimization Lehmann: Elements of Large Sample Theory Lehmann/Romano: Testing Statistical Hypotheses, Third Edition Lehmann/Casella: Theory of Point Estimation, Second Edition Longford: Studying Human Populations: An Advanced Course in Statistics Marin/Robert: Bayesian Core: A Practical Approach to Computational Bayesian Statistics Nolan/Speed: Stat Labs: Mathematical Statistics Through Applications Pitman: Probability Rawlings/Pantula/Dickey: Applied Regression Analysis (continued after index)
Anirban DasGupta
Asymptotic Theory of Statistics and Probability
Anirban DasGupta Purdue University Department of Statistics 150 North University Street West Lafayette, IN 47907 [email protected]
Editorial Board George Casella Department of Statistics University of Florida Gainesville, FL 32611-8545 USA
Stephen Fienberg Department of Statistics Carnegie Mellon University Pittsburgh, PA 15213-3890 USA
Ingram Olkin Department of Statistics Stanford University Stanford, CA 94305 USA
ISBN 978-0-387-75970-8 e-ISBN 978-0-387-75971-5 DOI: 10.1007/978-0-387-75971-5 Library of Congress Control Number: 2008921241 © 2008 Springer Science+Business Media, LLC All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publ
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