Random Coefficient Models (Hardcover)


Clustering is a phenomenon commonly observed across social science research--students are clustered in classrooms, individuals in households, and companies within industrial sectors, to name but a few examples. This book presents an elementary and systematic introduction to modeling of between-cluster variation, how results are best interpreted, and computational methods for estimation. The book addresses many important issues in the social sciences that can be best described in terms of variation sources and patterns, such as temporal, between-person, and geographical variation. By providing a balanced presentation of the advantages and limitations of these methods, the author has provided an introduction to the subject that will be of great utility to statisticians and students concentrating on social science data analysis.

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Product Description

Clustering is a phenomenon commonly observed across social science research--students are clustered in classrooms, individuals in households, and companies within industrial sectors, to name but a few examples. This book presents an elementary and systematic introduction to modeling of between-cluster variation, how results are best interpreted, and computational methods for estimation. The book addresses many important issues in the social sciences that can be best described in terms of variation sources and patterns, such as temporal, between-person, and geographical variation. By providing a balanced presentation of the advantages and limitations of these methods, the author has provided an introduction to the subject that will be of great utility to statisticians and students concentrating on social science data analysis.

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Product Details

General

Imprint

Clarendon Press

Country of origin

United Kingdom

Series

Oxford Statistical Science Series, 11

Release date

2001

Availability

Expected to ship within 10 - 15 working days

First published

February 1994

Authors

Dimensions

241 x 163 x 21mm (L x W x T)

Format

Hardcover

Pages

284

ISBN-13

978-0-19-852264-5

Barcode

9780198522645

Categories

LSN

0-19-852264-9



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