Advances and challenges in parametri...
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  • Advances and challenges in parametric and semi-parametric analysis for correlated data[electronic resource] :Proceedings of the 2015 International Symposium in Statistics /
  • 纪录类型: 书目-电子资源 : Monograph/item
    [NT 15000414] null: 519.5
    [NT 47271] Title/Author: Advances and challenges in parametric and semi-parametric analysis for correlated data : Proceedings of the 2015 International Symposium in Statistics // edited by Brajendra C. Sutradhar.
    [NT 51406] other author: Sutradhar, Brajendra C.
    [NT 51402] corporate name: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2016.
    面页册数: xix, 256 p. : : ill. (some col.), digital ;; 24 cm.
    Contained By: Springer eBooks
    标题: Mathematical statistics
    标题: Statistics.
    标题: Statistical Theory and Methods.
    标题: Statistics and Computing/Statistics Programs.
    ISBN: 9783319312606
    ISBN: 9783319312583
    [NT 15000229] null: 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.
    电子资源: http://dx.doi.org/10.1007/978-3-319-31260-6
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