Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data
Language: English
Published by Springer, Palgrave Macmillan Jun 2016, 2016
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This item is printed on demand - Print on Demand Titel. Neuware -This proceedings volume contains eight selected papers thatwere presented in the International Symposium in Statistics (ISS) 2015 OnAdvances in Parametric and Semi-parametric Analysis of Multivariate, TimeSeries, Spatial-temporal, and Familial-longitudinal Data, held in St. John¿sCanada from July 6 to 8, 2015. The main objective of the ISS-2015 was thediscussion on advances and challenges in parametric and semi-parametric analysisfor correlated data in both continuous and discrete setups. Thus, as areflection of the theme of the symposium, the eight papers of this proceedingsvolume are presented in four parts. Part I is comprised of papers examiningElliptical t Distribution Theory. In Part II, the papers cover spatial andtemporal data analysis. Part III is focused on longitudinal multinomial modelsin parametric and semi-parametric setups. Finally Part IV concludes with apaper on the inferences for longitudinal data subject to a challenge ofimportant covariates selection from a set of large number of covariatesavailable for the individuals in the study.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.…
Seller Inventory # 9783319312583
- Title
- Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data
- Author
- Brajendra C. Sutradhar
- Publisher
- Springer, Palgrave Macmillan Jun 2016
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319312588
- ISBN 13
- 9783319312583
- Item weight
- 423 grams
- Dimensions
- 235x155x16 mm
- Series
- Book 66 of 72: Lecture Notes in Statistics
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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