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Item Type Article
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KO50001004-00340001-0001  
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Title
Title Classification of the Generalized Hypergeometric family of distributions  
Kana  
Romanization  
Other Title
Title  
Kana  
Romanization  
Creator
Name Shibuya, Masaaki  
Kana シブヤ, マサアキ  
Romanization  
Affiliation Dept. of Mathematics, Keio University  
Affiliation (Translated)  
Role  
Link  

Name Shimizu, Ryoichi  
Kana シミズ, リョウイチ  
Romanization  
Affiliation Dept. of Mathematics, Keio University  
Affiliation (Translated)  
Role  
Link  
Edition
 
Place
横浜  
Publisher
Name 慶應義塾大学工学部  
Kana ケイオウ ギジュク ダイガク コウガクブ  
Romanization Keio gijuku daigaku kogakubu  
Date
Issued (from:yyyy) 1981  
Issued (to:yyyy)  
Created (yyyy-mm-dd)  
Updated (yyyy-mm-dd)  
Captured (yyyy-mm-dd)  
Physical description
 
Source Title
Name Keio Science and Technology Reports  
Name (Translated)  
Volume 34  
Issue 1  
Year 1981  
Month 9  
Start page 1  
End page 38  
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Abstract
Univariate and Multivariate Generalized Hypergeometric distributions are formally defined, and under some conventional rules all possible cases are found and classified. 
Univariate distributions on the interval [0, n] or [0, ∞) are clearly defined and classified into five types: A1 and A2 on finite intervals and B1, B2 and B3 on infinite intervals. On the other intervals, shifts or inversions of the distributions of the basic five types are essentially possible.
Bivariate Generalized Hypergeometric distributions are possible on the non-negative or the negative quadrant. Possible types are rather limited irrespective of the general setup. The discussions on the Bivariate distributions cover classification of the Multivariate distributions.
Singular Generalized Hypergeometric distributions are classified in the course of the discussions. Geneses of main Bivariate Generalized Hypergeometric distributions are summarized.
 
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Language
英語  
Type of resource
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Departmental Bulletin Paper  
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Last modified date
Feb 10, 2015 11:21:11  
Creation date
Feb 10, 2015 11:21:11  
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Index
/ Public / Faculty of Science and Technology / Keio Science and Technology Reports / 34(1981) / 34(1) 198109
 
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