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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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31#
發(fā)表于 2025-3-26 22:27:01 | 只看該作者
32#
發(fā)表于 2025-3-27 01:56:34 | 只看該作者
Elliptically Symmetric Bivariate Distributions and Other Symmetric Distributions,lipses with constant eccentricity. These distributions are generally known as elliptically contoured or elliptically symmetric distributions. A subclass of distributions with contours that are circles are known as spherically symmetric (or simply spherical) distributions. The chapter also includes other symmetric bivariate distributions.
33#
發(fā)表于 2025-3-27 06:32:34 | 只看該作者
https://doi.org/10.1007/978-3-319-75987-6 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.
34#
發(fā)表于 2025-3-27 09:32:41 | 只看該作者
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發(fā)表于 2025-3-27 20:42:38 | 只看該作者
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發(fā)表于 2025-3-28 00:17:57 | 只看該作者
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發(fā)表于 2025-3-28 02:45:03 | 只看該作者
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發(fā)表于 2025-3-28 08:42:21 | 只看該作者
978-1-4419-1875-8Springer-Verlag New York 2009
40#
發(fā)表于 2025-3-28 13:42:29 | 只看該作者
Antti Ahola,Tuomas Skriko,Timo Bj?rk the marginal or conditional distributions. The two encyclopedic volumes by Johnson et al. (1994, 1995) are the most comprehensive texts to date on continuous univariate distributions. Monographs by Ord (1972) and Hastings and Peacock (1975) are worth mentioning, with the latter being a convenient h
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