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

Proceedings of the 2015 International Symposium in Statistics

  • Brajendra C. Sutradhar
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


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.


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

Bibliographic information