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MARC 21

Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data: Proceedings of the 2015 International Symposium in Statistics /
Tag	Descrizione
020	$a9783319312606$9978-3-319-31260-6
082	$a519.5$223
099	$aOnline resource: Springer
245	$aAdvances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data$h[EBook]$bProceedings of the 2015 International Symposium in Statistics /$cedited by Brajendra C. Sutradhar.
260	$aCham :$bSpringer International Publishing :$bImprint: Springer,$c2016.
300	$aXIX, 256 p. 12 illus., 6 illus. in color.$bonline resource.
336	$atext$btxt$2rdacontent
337	$acomputer$bc$2rdamedia
338	$aonline resource$bcr$2rdacarrier
440	$aLecture Notes in Statistics,$x0930-0325 ;$v218
520	$aThis 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.
538	$aOnline access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
700	$aSutradhar, Brajendra C.$eeditor.
710	$aSpringerLink (Online service)
830	$aLecture Notes in Statistics,$x0930-0325 ;$v218
856	$uhttp://dx.doi.org/10.1007/978-3-319-31260-6