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Paul Newbold - Stochastic Parameter Regression Models (Quantitative Applications in the Social Sciences)

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This excellent introduction to stochastic parameter regression models is more advanced and technically difficult than other papers in this series. These models allow relationships to vary through time, rather than requiring them to be fixed, without forcing the analyst to specify and analyze the causes of the time-varying relationships. This volume will be most useful to those with a good working knowledge of standard regression models and who wish to understand methods which deal with relationships that vary slowly over time, but for which the exact causes of variation cannot be identified.

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title Stochastic Parameter Regression Models Sage University Papers - photo 1

title:Stochastic Parameter Regression Models Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-051
author:Newbold, Paul.; Bos, Theodore.
publisher:Sage Publications, Inc.
isbn10 | asin:0803924259
print isbn13:9780803924253
ebook isbn13:9780585181097
language:English
subjectRegression analysis, Stochastic analysis.
publication date:1985
lcc:QA278.2.N48 1985eb
ddc:519.5/36
subject:Regression analysis, Stochastic analysis.
Stochastic Parameter Regression Models
SAGE UNIVERSITY PAPERS
Series: Quantitative Applications in the Social Sciences
Series Editor: Michael S. Lewis-Beck, University of Iowa
Editorial Consultants
Richard A. Berk, Sociology, University of California, Los Angeles
William D. Berry, Political Science, Florida State University
Kenneth A. Bollen, Sociology, University of North Carolina, Chapel Hill
Linda B. Bourque, Public Health, University of California, Los Angeles
Jacques A. Hagenaars, Social Sciences, Tilburg University
Sally Jackson, Communications, University of Arizona
Richard M. Jaeger, Education, University of North Carolina, Greensboro
Gary King, Department of Government, Harvard University
Roger E. Kirk, Psychology, Baylor University
Helena Chmura Kraemer, Psychiatry and Behavioral Sciences, Stanford University
Peter Marsden, Sociology, Harvard University
Helmut Norpoth, Political Science, SUNY, Stony Brook
Frank L. Schmidt, Management and Organization, University of Iowa
Herbert Weisberg, Political Science, The Ohio State University
Publisher
Sara Miller McCune, Sage Publications, Inc.
INSTRUCTIONS TO POTENTIAL CONTRIBUTORS
For guidelines on submission of a monograph proposal to this series, please write
Michael S. Lewis-Beck, Editor
Sage QASS Series
Department of Political Science
University of Iowa
Iowa City, IA 52242
Page 1
Series / Number 07-051
Stochastic Parameter Regression Models
Paul Newbold
University of Illinois at Urbana-Champaign
Theodore Bos
University of Alabama at Birmingham
Page 2 Copyright 1985 by Sage Publications Inc All rights reserved - photo 2
Page 2
Copyright 1985 by Sage Publications, Inc.
All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher.
For information address:
Picture 3
SAGE Publications, Inc.
2455 Teller Road
Newbury Park, California 91320
E-Mail: order@sagepub.com
SAGE Publications Ltd.
6 Bonhill Street
London EC2A 4PU
United Kingdom
SAGE Publications India Pvt. Ltd.
M-32 Market
Greater Kailash I
New Delhi 110 048 India
Printed in the United States of America
International Standard Book Number 0-8039-2425-9
Library of Congress Catalog Card No. L.C. 85-050149
98 99 00 01 02 12 11 10 09 08 07
When citing a professional paper, please use the proper form. Remember to cite the correct Sage University Paper series title and include the paper number. One of the two following formats can be adapted (depending on the style manual used):
(1) NEWBOLD, PAUL and BOS, THEODORE (1985) Stochastic Parameter Regression Models. Sage University Paper series on Quantitative Applications in the Social Sciences, 07-051. Newbury Park: Sage.
OR
(2) Newbold, P., & Bos, T. (1985). Stochastic parameter regression models. Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-051. Newbury Park: Sage.
Page 3
Contents
Series Editor's Introduction
5
1. Introduction and Preliminaries
7
Picture 4
1.1 Regression Models with Stochastic Parameters
11
Picture 5
1.2 Models for a Single Time Series
13
Picture 6
1.3 Models for Multiple Time Series
17
Picture 7
1.4 Likelihood Ratio and Lagrange Multiplier Tests
20
Picture 8
1.5 A Stochastic Parameters Regression Model
22
2. Estimation and Prediction
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