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Advances and challenges in parametri...
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Sutradhar, Brajendra C.
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Advances and challenges in parametric and semi-parametric analysis for correlated data = Proceedings of the 2015 International Symposium in Statistics /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances and challenges in parametric and semi-parametric analysis for correlated data/ edited by Brajendra C. Sutradhar.
其他題名:
Proceedings of the 2015 International Symposium in Statistics /
其他作者:
Sutradhar, Brajendra C.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xix, 256 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
Mathematical statistics -
電子資源:
http://dx.doi.org/10.1007/978-3-319-31260-6
ISBN:
9783319312606
Advances and challenges in parametric and semi-parametric analysis for correlated data = Proceedings of the 2015 International Symposium in Statistics /
Advances and challenges in parametric and semi-parametric analysis for correlated data
Proceedings of the 2015 International Symposium in Statistics /[electronic resource] :edited by Brajendra C. Sutradhar. - Cham :Springer International Publishing :2016. - xix, 256 p. :ill. (some col.), digital ;24 cm. - Lecture notes in statistics,v.2180930-0325 ;. - Lecture notes in statistics ;205..
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.
ISBN: 9783319312606
Standard No.: 10.1007/978-3-319-31260-6doiSubjects--Topical Terms:
646437
Mathematical statistics
LC Class. No.: QA276.A1
Dewey Class. No.: 519.5
Advances and challenges in parametric and semi-parametric analysis for correlated data = Proceedings of the 2015 International Symposium in Statistics /
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