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© 2016

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

Proceedings of the 2015 International Symposium in Statistics

  • Brajendra C. Sutradhar
  • 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

Conference proceedings

Part of the Lecture Notes in Statistics book series (LNS, volume 218)

Also part of the Lecture Notes in Statistics - Proceedings book sub series (LNSP, volume 218)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Elliptical t Distribution Theory

    1. Front Matter
      Pages 1-1
    2. R. Prabhakar Rao, Brajendra C. Sutradhar, V. N. Pandit
      Pages 41-71
  3. Spatial and/or Time Series Volatility Models with Applications

    1. Front Matter
      Pages 73-73
    2. L. M. Ainsworth, C. B. Dean, R. Joy
      Pages 75-96
    3. Vickneswary Tagore, Nan Zheng, Brajendra C. Sutradhar
      Pages 97-131
  4. Longitudinal Multinomial Models in Parametric and Semi-parametric Setups

    1. Front Matter
      Pages 133-133
    2. Brajendra C. Sutradhar, Roman Viveros-Aguilera, Taslim S. Mallick
      Pages 135-168
    3. Brajendra C. Sutradhar, Nairanjana Dasgupta
      Pages 169-197
  5. An Extension of the GQL Estimation Approach for Longitudinal Data Analysis

    1. Front Matter
      Pages 231-231
    2. Tharshanna Nadarajah, Asokan Mulayath Variyath, J. Concepción Loredo-Osti
      Pages 233-250
  6. Back Matter
    Pages 251-256

About these proceedings

Introduction

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.

Keywords

Auto-correlation models Longitudinal multinomial data Measurement errors Missing data Parametric longitudinal correlations outliers

Editors and affiliations

  • Brajendra C. Sutradhar
    • 1
  1. 1.Department of Mathematics & StatisticsMemorial University of NewfoundlandSt. John'sCanada

About the editors

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 of Statistics 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
  • Series Abbreviated Title Lect.Notes Statistics
  • DOI https://doi.org/10.1007/978-3-319-31260-6
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
  • Softcover ISBN 978-3-319-31258-3
  • eBook ISBN 978-3-319-31260-6
  • 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
  • Buy this book on publisher's site
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