Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data
Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data: Proceedings of the 2015 International Symposium in Statistics (Lecture Notes in Statistics) by Brajendra C. Sutradhar
English | 16 Jun. 2016 | ISBN: 3319312588 | 276 Pages | PDF (True) | 10.64 MB
English | 16 Jun. 2016 | ISBN: 3319312588 | 276 Pages | PDF (True) | 10.64 MB
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.