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Titlebook: Continuous Bivariate Distributions; Chin Diew Lai,N. Balakrishnan Book 2009Latest edition Springer-Verlag New York 2009 LDA.Random variabl

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發(fā)表于 2025-3-21 17:57:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Continuous Bivariate Distributions
編輯Chin Diew Lai,N. Balakrishnan
視頻videohttp://file.papertrans.cn/237/236986/236986.mp4
概述Includes supplementary material:
圖書封面Titlebook: Continuous Bivariate Distributions;  Chin Diew Lai,N. Balakrishnan Book 2009Latest edition Springer-Verlag New York 2009 LDA.Random variabl
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
關(guān)鍵詞LDA; Random variable; correlation; normal distribution
版次2
doihttps://doi.org/10.1007/b101765
isbn_softcover978-1-4419-1875-8
isbn_ebook978-0-387-09614-8
copyrightSpringer-Verlag New York 2009
The information of publication is updating

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沙發(fā)
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Measures of Dependence, linear dependence, and the other extreme will be complete mutual independence. Although it is customary in bivariate data analysis to compute a correlation measure of some sort, one number (or index) alone can never fully reveal the nature of dependence; hence a variety of measures are needed.
地板
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Construction of Bivariate Distributions,Instead, we offer a classification that is based on loosely connected common structures, with the hope that a new bivariate distribution can be fitted into one of these schemes. We focus especially on application-oriented methods as well as those with mathematical nicety.
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發(fā)表于 2025-3-22 11:35:51 | 只看該作者
Bivariate Distributions Constructed by the Conditional Approach, construction is easily understood, and has been a popular choice in the literature, especially when . can be thought of as being caused by, or predicted from, .. Arnold et al. (1999, p. 1) contend that it is often easier to visualize conditional densities or features of conditional densities than m
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Bivariate Gamma and Related Distributions,nsformation. It is well known that a univariate chi-squared distribution can be obtained from one or more independent and identically distributed normal variables and that a chi-squared random variable is a special case of gamma; hence, it is not surprising that a bivariate gamma model is related to
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