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

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Publisher Description

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.

GENRE
Science & Nature
RELEASED
2016
June 15
LANGUAGE
EN
English
LENGTH
275
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
5
MB

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