Overview
- Offers clear differences between structural and longitudinal correlations for the analysis of repeated multivariate data in different setups
- Uses parametric longitudinal correlation models unlike the existing studies
- Provides a comprehensive presentation by bringing together spatial-temporal and familial-longitudinal data analysis both for continuous and discrete data
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 218)
Part of the book sub series: Lecture Notes in Statistics - Proceedings (LNSP)
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Table of contents (8 papers)
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Front Matter
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Elliptical t Distribution Theory
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Front Matter
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Spatial and/or Time Series Volatility Models with Applications
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Front Matter
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Longitudinal Multinomial Models in Parametric and Semi-parametric Setups
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Front Matter
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An Extension of the GQL Estimation Approach for Longitudinal Data Analysis
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Front Matter
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Back Matter
Keywords
About this book
Editors and Affiliations
About the editor
Brajendra C. Sutradhar is an Honorary Research Professor at Memorial University, St. John's, and an Adjunct Research Professor at Carleton University in Ottawa, Canada. He is also a University Research Professor. This University Research Professor title was awarded to him by Memorial University in 2004 for his outstanding research in Statistical Science. Memorial University confers this prestigious title to at most two professors in any one year. Professor Sutradhar has published 126 papers in statistics journal in the area of familial and longitudinal data analysis with bio-statistical and econometric applications, multivariate estimation theory, time series analysis in both continuous and discrete setups, and complex sampling estimation theory for longitudinal survey data. He has served for 3 years as a member of the advisory committee on statistical methods in Statistics Canada. He has served as an associate editor for six years for Canadian Journal ofStatistics and for four years for the Journal of Environmental and Ecological Statistics. He is an elected member of the International Statistical Institute and a fellow of the American Statistical Association. Professor Sutradhar was awarded 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.
Professor Sutradhar is author of the books: (1) Dynamic Mixed Models for Familial Longitudinal Data, 2011; and (2) Longitudinal Categorical Data Analysis, 2014, published by Springer, New York. Also, he edited the special issue of the Canadian Journal of Statistics (2010, Vol. 38, June Issue, John Wiley) and the Lecture Notes in Statistics (2013, Vol. 211, Springer), with selected papers from two symposiums: International Symposium in Statistics, 2009 (ISS-2009) and ISS-2012, respectively.
Bibliographic Information
Book Title: Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data
Book Subtitle: Proceedings of the 2015 International Symposium in Statistics
Editors: Brajendra C. Sutradhar
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-3-319-31260-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-31258-3Published: 16 June 2016
eBook ISBN: 978-3-319-31260-6Published: 15 June 2016
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: XIX, 256
Number of Illustrations: 6 b/w illustrations, 6 illustrations in colour
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs