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  • 标题:Exact and Approximate Distributions for the Linear Combination of Inverted Dirichlet Components
  • 本地全文:下载
  • 作者:Arjun K. Gupta ; Saralees Nadarajah
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2006
  • 卷号:36
  • 期号:2
  • 页码:225-236
  • DOI:10.14490/jjss.36.225
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:It is well known that X + Y has the F distribution when X and Y follow the inverted Dirichlet distribution. In this paper, we derive the exact distribution of the general form α X + β Y (involving the Gauss hypergeometric function) and the corresponding moment properties. We also propose approximations and discuss evidence of their robustness based on the powerful Kolmogorov-Smirnov test. The work is motivated by real-life examples in quality and reliability engineering.
  • 关键词:Dirichlet distribution;Gauss hypergeometric function;linear combinations of random variables
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