Linear Models for Multivariate, Time Series, and Spatial Data
This is a companion volume to Plane Answers to Complex Questions: The Theory 0/ Linear Models. It consists of six additional chapters written in the same spirit as the last six chapters of the earlier book. Brief introductions are given to topics related
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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 Biom: 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 Creighton: A First Course in Probability Models and Statistical Inference du Toit, Steyn and Stumpf Graphical Exploratory Data Analysis Edwards: Introduction to Graphical Modelling Finkelstein and Levin: Statistics for Lawyers Flury: A First Course in Multivariate Statistics Jobson: Applied Multivariate Data Analysis, Volume I: Regression and Experimental Design Jobson: Applied Multivariate Data Analysis, Volume 11: Categorical and Multivariate Methods Kalbfleiseh: Probability and Statistical Inference, Volume I: Probability , Second Edition Kalbfleiseh: Probability and Statistical Inference, Volume 11: Statistical Inference, Second Edition Karr: Prob ability Keyfitz: Applied Mathematical Demography, Second Edition Kiefer: Introduction to Statistical Inference Kokoska and Nevison: Statistical Tables and Formulae Lehmann: Testing Statistical Hypotheses, 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 Nguyen and Rogers: Fundamentals of Mathematical Statistics: Volume I: Probability for Statistics Nguyen and Rogers: Fundamentals of Mathematical Statistics: Volume 11: Statistical Inference Noether: Introduction to Statistics: The Nonparametric Way Peters: Counting for Something: Statistical Principles and Personalities Pfeiffer: Probability for Applications Pitman: Probability Continued at end 01 book
Ronald Christensen
Linear Models for Multivariate, Time Series, and Spatial Data With 40 Illustrations
Springer
Ronald Christensen Department of Mathematics and Statistics University of New Mexico Albuquerque, NM 87131 USA
Editorial Board George Casella Biometics Unit Cornell University lthaca, NY 14853-7801 USA
Stephen Fienberg
Ingram Olkin
Department of Statistics Carnegie-Mellon University Pittsburgh, PA 15213-3890 USA
Department of Statistics Stanford University Stanford, CA 94305 USA
Mathematics Subject Classification: 62H17
Library of Congress Cataloging-in-Publication Data Christensen, Ronald, 1951Linear models for multivariate, time series, and spatial data/ Ronald Christensen. p. cm. Includes bibliographical references and index. ISBN 978-1-4757-4105-6 ISBN 978-1-4757-4103-2 (eBook) DOI 10.1007/978-
