Sutradhar | Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data | E-Book | sack.de
E-Book

E-Book, Englisch, 256 Seiten, eBook

Reihe: Lecture Notes in Statistics - Proceedings

Sutradhar Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data

Proceedings of the 2015 International Symposium in Statistics

E-Book, Englisch, 256 Seiten, eBook

Reihe: Lecture Notes in Statistics - Proceedings

ISBN: 978-3-319-31260-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)



This proceedings volume contains eight selected papers that
were presented in the International Symposium in Statistics (ISS) 2015 On
Advances in Parametric and Semi-parametric Analysis of Multivariate, Time
Series, Spatial-temporal, and Familial-longitudinal Data, held in St. John’s,
Canada from July 6 to 8, 2015. The main objective of the ISS-2015 was the
discussion on advances and challenges in parametric and semi-parametric analysis
for correlated data in both continuous and discrete setups. Thus, as a
reflection of the theme of the symposium, the eight papers of this proceedings
volume are presented in four parts. Part I is comprised of papers examining
Elliptical t Distribution Theory. In Part II, the papers cover spatial and
temporal data analysis. Part III is focused on longitudinal multinomial models
in parametric and semi-parametric setups. Finally Part IV concludes with a
paper on the inferences for longitudinal data subject to a challenge of
important covariates selection from a set of large number of covariates
available for the individuals in the study.
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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.


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