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  • 标题:Characterization of Bivariate Generalized Logistic Family of Distributions Through Conditional Specification
  • 本地全文:下载
  • 作者:Indranil Ghosh ; N. Balakrishnan
  • 期刊名称:Sankhya. Series B, applied and interdisciplinary statistics
  • 印刷版ISSN:0976-8386
  • 电子版ISSN:0976-8394
  • 出版年度:2017
  • 卷号:79
  • 期号:1
  • 页码:170-186
  • DOI:10.1007/s13571-016-0123-9
  • 语种:English
  • 出版社:Indian Statistical Institute
  • 摘要:Abstract The univariate logistic distribution and its properties and applications have been studied quite extensively in the literature. Some generalizations as well as multivariate extensions of it have also been proposed for greater flexibility in modeling univariate and multivariate data. In this paper, we construct three different types of generalized bivariate logistic type distributions through conditional specification, and discuss some of their properties. Finally, we use a data set to fit the proposed models for the purpose of illustration.
  • 关键词:Keywords and phrasesEnGeneralized logistic distributionsGeneralized bivariate logistic distributionsConditional specificationTP2 propertyUnimodalityLikelihood inference
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