Applied Regression Analysis A Research Tool
Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistica
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Stephen Fienberg
Ingram Olkin
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, Second Edition 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 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: Applying and Interpreting Statistics: A Comprehensive Guide, Second Edition Mueller: Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS (continued after index)
John O. Rawlings Sastry G. Pantula David A. Dickey
Applied Regression Analysis A Research Tool Second Edition With 78 Figures
John O. Rawlings Sastry G. Pantula David A. Dickey Department of Statistics North Carolina State University Raleigh, NC 27695 USA
Editorial Board George Casella
Stephen Fienberg
Ingram Olkin
Biometrics Unit Cornell University Ithaca, NY 14853-7801 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 Rawlings, John O., 1932– Applied regression analysis: a research tool. — 2nd ed. / John O. Rawlings, Sastry G. Pentula, David A. Dickey. p. cm. — (Spring
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