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Marginal Models - For Dependent, Clustered, and Longitudinal Categorical Data (Paperback, Softcover reprint of hardcover 1st ed. 2009) Loot Price: R2,873
Discovery Miles 28 730
Marginal Models - For Dependent, Clustered, and Longitudinal Categorical Data (Paperback, Softcover reprint of hardcover 1st...

Marginal Models - For Dependent, Clustered, and Longitudinal Categorical Data (Paperback, Softcover reprint of hardcover 1st ed. 2009)

Wicher Bergsma, Marcel A. Croon, Jacques A Hagenaars

Series: Statistics for Social and Behavioral Sciences

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Loot Price R2,873 Discovery Miles 28 730 | Repayment Terms: R269 pm x 12*

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Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show.

In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models.

This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (www.cmm.st), along with user friendly programs.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Statistics for Social and Behavioral Sciences
Release date: November 2010
First published: 2009
Authors: Wicher Bergsma • Marcel A. Croon • Jacques A Hagenaars
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Paperback
Pages: 268
Edition: Softcover reprint of hardcover 1st ed. 2009
ISBN-13: 978-1-4419-1873-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Social sciences > Sociology, social studies > Social research & statistics > General
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LSN: 1-4419-1873-6
Barcode: 9781441918734

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