Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Introduction to Applied Bayesian Statistics and Estimation for Social Scientists covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference. The key feat

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Scott M.Lynch Introduction to Applied Bayesian Statistics and Estimation for Social Scientists



Statistics for Social and Behavioral Sciences Advisors: S.E. Fienberg

W.J. van der Linden

Statistics for Social and Behavioral Sciences Brennan: Generalizability Theory DeBoeck/Wilson: Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach Devlin/Fienberg/Resnick/Roeder: Intelligence, Genes, and Success: Scientists Respond to The Bell Curve Dorans/Pommerich/Holland: Linking and Aligning Scores and Scales Finkelstein/Levin: Statistics for Lawyers, 2nd ed. Gastwirth: Statistical Science in the Courtroom Handcock/Morris: Relative Distribution Methods in the Social Sciences Johnson/Albert: Ordinal Data Modeling Kolen/Brennan: Test Equating, Scaling, and Linking: Methods and Practices, 2nd ed. Longford: Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician Lynch: Introduction to Applied Bayesian Statistics and Estimation for Social Scientists Morton/Rolph: Public Policy and Statistics: Case Studies from RAND van der Linden: Linear Models for Optimal Test Design von Davier/Carstensen: Multivariate and Mixture Distribution Rasch Models von Davier/Holland/Thayer: The Kernel Method of Test Equating Zeisel/Kaye: Prove It with Figures: Empirical Methods in Law and Litigation

Scott M. Lynch

Introduction to Applied Bayesian Statistics and Estimation for Social Scientists With 89 Figures

Scott M. Lynch Department of Sociology and Office of Population Research Princeton University Princeton, NJ 08544 [email protected] Series Editors: Stephen E. Fienberg Department of Statistics Carnegie Mellon University Pittsburgh, PA 15213–3890 USA

Wim J. van der Linden Department of Measurement and Data Analysis Faculty of Behavioral Sciences University of Twente 7500 AE Enschede The Netherlands

Library of Congress Control Number: 2007929729

ISBN 978-0-387-71264-2

e-ISBN 978-0-387-71265-9

SAS® and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. STATA® and STATA® logo are registered trademarks of StataCorp LP. Printed on acid-free paper. © 2007 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 publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. 9 8 7 6 5 4 3 2 1 springer.com

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Preface

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