| 书目名称 | Continuous Bivariate Distributions | | 编辑 | Chin Diew Lai,N. Balakrishnan | | 视频video | | | 概述 | Includes supplementary material: | | 图书封面 |  | | 描述 | .Random variables are rarely independent in practice and so many multivariate distributions have been proposed in the literature to give a dependence structure for two or more variables. In this book, we restrict ourselves to the bivariate distributions for two reasons: (i) correlation structure and other properties are easier to understand and the joint density plot can be displayed more easily, and (ii) a bivariate distribution can normally be extended to a multivariate one through a vector or matrix representation. This volume is a revision of Chapters 1-17 of the previous book .Continuous Bivariate Distributions, Emphasising Applications .authored by Drs. Paul Hutchinson and Chin-Diew Lai...The book updates the subject of copulas which have grown immensely during the past two decades. Similarly, conditionally specified distributions and skewed distributions have become important topics of discussion in this area of research. This volume, which provides an up-to-date review of various developments relating to bivariate distributions in general, should be of interest to academics and graduate students, as well as applied researchers in finance, economics, science, engineering and | | 出版日期 | Book 2009Latest edition | | 关键词 | LDA; Random variable; correlation; normal distribution | | 版次 | 2 | | doi | https://doi.org/10.1007/b101765 | | isbn_softcover | 978-1-4419-1875-8 | | isbn_ebook | 978-0-387-09614-8 | | copyright | Springer-Verlag New York 2009 |
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发表于 2025-3-21 17:57:26
