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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

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Statistics ; 218 | Lecture Notes in Statistics - Proceedings ; 218 | SpringerLink BücherPublisher: Cham : Springer, 2016Description: Online-Ressource (XIX, 256 p. 12 illus., 6 illus. in color, online resource)ISBN:
  • 9783319312606
Subject(s): Genre/Form: Additional physical formats: 9783319312583 | Erscheint auch als: Advances and challenges in parametric and semi-parametric analysis for correlated data. Druck-Ausgabe. Switzerland : Springer, 2016. XIX, 256 SeitenDDC classification:
  • 519.5
MSC: MSC: *62-06 | 62H10 | 62H11 | 62H12 | 62F10 | 62G05 | 62F12 | 00B25RVK: RVK: SI 856LOC classification:
  • QA276-280
DOI: DOI: 10.1007/978-3-319-31260-6Online resources: Summary: 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.PPN: PPN: 1657723739Package identifier: Produktsigel: ZDB-2-SXMS | ZDB-2-SMA | ZDB-2-SEB
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