Libro Regression Analysis

Páginas: 964 (240825 palabras) Publicado: 20 de diciembre de 2012
Applied Regression Analysis: A Research Tool, Second Edition

John O. Rawlings Sastry G. Pantula David A. Dickey

Springer

Springer Texts in Statistics
Advisors: George Casella Stephen Fienberg Ingram Olkin

Springer
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Springer Texts in Statistics
Alfred: Elements of Statistics for the Life and SocialSciences 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 ComplexQuestions: 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 andStatistical 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 SystemsLehmann: 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 EditionMueller: Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS
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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 USAEditorial Board George Casella
Biometrics Unit Cornell University Ithaca, NY 14853-7801 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

Library of Congress Cataloging-in-Publication Data Rawlings, John O., 1932– Applied regression analysis: a researchtool. — 2nd ed. / John O. Rawlings, Sastry G. Pentula, David A. Dickey. p. cm. — (Springer texts in statistics) Includes bibliographical references and indexes. ISBN 0-387-98454-2 (hardcover: alk. paper) 1. regression analysis. I. Pentula, Sastry G. II. Dickey, David A. III. Title. IV. Series. QA278.2.R38 1998 97-48858 519.5 36—dc21 Printed on acid-free paper. c 1989 Wadsworth, Inc. c 1998Springer-Verlag New York, Inc. All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer-Verlag New York, Inc., 175 Fifth Avenue, New York, NY 10010, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic...
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