Eisenhower 发表于 2025-3-21 20:05:01

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Protein 发表于 2025-3-21 21:24:01

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JOG 发表于 2025-3-22 03:20:44

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娴熟 发表于 2025-3-22 08:20:29

The Pseudo-Normal (PN) Distribution,rmal (CSN), where the CSN is an extension of the SN and includes various important distributions. Note that the SN and CSN use single truncation in typically hidden truncation models while the PN uses sectional truncation introduced by Ogasawara (Ogasawara in Journal of Multivariate Analysis (online

Keratectomy 发表于 2025-3-22 12:26:28

The Kurtic-Normal (KN) Distribution, platykurtic” used in statistics. Note that in the skew-normal (SN) and closed skew-normal (CSN), when a distribution is symmetric, it is always normal. On the other hand, though the distribution of KN is symmetric, it is not necessarily normal. Moments and cumulants for some simple KN distributions

性学院 发表于 2025-3-22 13:31:46

The Normal-Normal (NN) Distribution,normal distribution in place of the usual normal under sectional truncation. Though the discrete normal distribution takes normal densities at finite/infinite points approximating the truncated normal, the discrete distribution is not necessarily a truncated one. Their moment generating function and

性学院 发表于 2025-3-22 17:23:19

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赌博 发表于 2025-3-23 00:30:41

The Truncated Pseudo-Normal (TPN) and Truncated Normal-Normal (TNN) Distributions, typically hidden variable(s) in the PN are subject to truncation except the untruncated cases giving observable normal distributions of less interest. When the observable variables are sectionally truncated, we have the truncated pseudo normal (TPN) and normal-normal (TNN). The properties of the TP

泰然自若 发表于 2025-3-23 05:08:15

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BRAVE 发表于 2025-3-23 06:13:05

Multivariate Measures of Skewness and Kurtosis,trix (commutator) . with several explicit expressions of . are presented, where the methods of proofs using the elements in matrix equations are emphasized with the by-products of the explicit expressions of the elements. The vectors of the multivariate cumulants up to the fourth order are shown by
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查看完整版本: Titlebook: Expository Moments for Pseudo Distributions; Haruhiko Ogasawara Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive