Dynamic Mixed Models for Familial Longitudinal Data (Springer Statistics)

Dynamic Mixed Models for Familial Longitudinal Data (Springer Statistics)

Brajendra C. Sutradhar
$109.99
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Publication Date: February 3rd, 2011
Publisher:
Springer
ISBN:
9781441983411
Pages:
494
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Description

Introduction. - An overview of linear models with correlated errors. - An overview of linear mixed models with correlated errors. - Generalized linear mixed models for familial count data. - Generalized linear mixed models for familial binary data. - Generalized linear models for longitudinal count data. - Generalized linear models for longitudinal binary data. - Generalized linear models for longitudinal count data with overdispersion. - Generalized linear models for longitudina binary data with overdispersion. - Generalized linear longitudinal mixed models. - Inferences for familiar data subject to non-response. - Inferences for longitudinal data subject to non-response. - References.

About the Author

Brajendra Sutradhar is a University Research Professor at Memorial University in St. John's, Canada. He is an elected member of the International Statistical Institute and a fellow of the American Statistical Association. He has published about 110 papers in statistics journals in the area of multivariate analysis, time series analysis including forecasting, sampling, survival analysis for correlated failure times, robust inferences in generalized linear mixed models with outliers, and generalized linear longitudinal mixed models with bio-statistical and econometric applications. He has served as an associate editor for six years for Canadian Journal of Statistics and for four years for the Journal of Environmental and Ecological Statistics. He has served for 3 years as a member of the advisory committee on statistical methods in Statistics Canada. Professor Sutradhar was awarded the 2007 distinguished service award of Statistics Society of Canada for his many years of services to the society including his special services for society's annual meetings.

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