Applied Multivariate Data Analysis Regression and Experimental D
An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software
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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 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 Toif, Steyn, and Stump!' 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 II: Categorical and Multivariate Methods Kalbfleisch: Probability and Statistical Inference, Volume I: 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 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 Nguyen and Rogers: Fundamentals of Mathematical Statistics: Volume I: Probability for Statistics Nguyen and Rogers: Fundamentals of Mathematical Statistics: Volume II: Statistical Inference
(Continued after index)
J.D. Jobson
Applied Multivariate Data Analysis Volume I: Regression and Experimental Design With 93 Illustrations in 116 parts
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Springer
I.D.lobson Faculty of Business University of Alberta Edmonton, Alberta T6G 2R6 Canada Editorial Board George Casella Biometrics Unit Comell University Ithaca, NY 14853-7801 USA
Stephen Fienberg Department of Statistics Camegie-Mellon University Pittsburgh, PA 15213-3890 USA
Ingram Olkin Department of Statistics Stanford University Stanford, CA 94305 USA
Mathematics Subject Classification: 62-07, 62105, 62J10, 62KI0, 62Kl5
Printed on acid-free paper. © 1991 Springer Science+Business Media New York Originally published by Springer-Verlag New York in 1991 Softcover reprint of the hardcover 1st edition 1991
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