Advances and challenges in parametric and semi-parametric analysis for correlated data : Proceedings of the 2015 International Symposium in Statistics

• 作者： International Symposium in Statistics (ISS) on Advances in Parametric and Semi-parametric Analysis of Multivariate, Time Series, Spatial-Temporal, and Familial-Longitudinal Data (2015 : St. John's, N.L.)
• 其他作者：
  • Sutradhar, Brajendra C., editor.
  • SpringerLink (Online service)
• 其他題名：
  • Lecture notes in statistics ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Lecture notes in statistics,volume 218
• 主題： Mathematical statistics--Congresses. , Statistics. , Statistical Theory and Methods. , Statistics and Computing/Statistics Programs.
• ISBN： 9783319312606 (electronic bk.) 、 9783319312583 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
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• 摘要註: 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.
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