Dynamic mixed models for familial longitudinal data / Brajendra C. Sutradhar.

By:

Sutradhar, Brajendra C

Material type: Text

TextSeries: Springer series in statisticsPublication details: New York : Springer, 2011.Description: xviii, 492 p. : ill. ; 24 cmISBN:

9781441983411

Subject(s):

DDC classification:

000SA.072 23 Su966

Contents:

1. Introduction -- 2. Overview of Linear Fixed Models for Longitudinal Data -- 3. Overview of Linear Mixed Models for Longitudinal Data -- 4. Familial Models for Count Data -- 5. Familial Models for Binary Data -- 6. Longitudinal Models for Count Data -- 7. Longitudinal Models for Binary Data -- 8. Longitudinal Mixed Models for Count Data -- 9. Longitudinal Mixed Models for Binary Data -- 10. Familial Longitudinal Models for Count Data -- 11. Familial Longitudinal Models for Binary Data-- References-- Index.

Summary: This book provides a theoretical foundation for analysis of discrete data such as count and binary data in the longitudinal setup. It presents differences between the familial and longitudinal correlation models, and illustrations of real life data analysis.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	ISI Library, Kolkata	000SA.072 Su966 (Browse shelf(Opens below))	Available		136125

Total holds: 0

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Previous	000SA.072 G977 On efficient center-based clustering: from unsupervised learning to clustering under weak supervision/	000SA.072 H516 Handbook of cluster analysis /	000SA.072 R614 Robust cluster analysis and variable selection /	000SA.072 Su966 Dynamic mixed models for familial longitudinal data /	000SA.073 D979 Some contributions to discriminant analysis using different notions of data depth /	000SA.07=3 F828 Om variabelkopplingar i FoB-75	000SA.074 TR.61 On a selection and ranking proceedure for gamma populations	Next

Includes bibliographical references and index.

1. Introduction --
2. Overview of Linear Fixed Models for Longitudinal Data --
3. Overview of Linear Mixed Models for Longitudinal Data --
4. Familial Models for Count Data --
5. Familial Models for Binary Data --
6. Longitudinal Models for Count Data --
7. Longitudinal Models for Binary Data --
8. Longitudinal Mixed Models for Count Data --
9. Longitudinal Mixed Models for Binary Data --
10. Familial Longitudinal Models for Count Data --
11. Familial Longitudinal Models for Binary Data--
References--
Index.

This book provides a theoretical foundation for analysis of discrete data such as count and binary data in the longitudinal setup. It presents differences between the familial and longitudinal correlation models, and illustrations of real life data analysis.

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