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Probability Laws Derived from the Gamma Function

Probability Laws Derived from the Gamma Function
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摘要 Several densities or probability laws of continuous random variables derive from the Euler Gamma function. These laws form the basis of sampling theory, namely hypothesis testing and estimation. Namely the gamma, beta, and Student law, through the chi-square law and the normal law are all distributions resulting from applications of Euleur functions. Several densities or probability laws of continuous random variables derive from the Euler Gamma function. These laws form the basis of sampling theory, namely hypothesis testing and estimation. Namely the gamma, beta, and Student law, through the chi-square law and the normal law are all distributions resulting from applications of Euleur functions.
作者 Lansana Toure Soumaila Conde Lansana Toure;Soumaila Conde(Department of Business Administration and LaboMaths, University Julius Nyéréré of Kankan, Kankan, Guinea;Faculty of Sciences, University Julius Nyéréré of Kankan, Kankan, Guinea)
出处 《Open Journal of Statistics》 2024年第1期106-118,共13页 统计学期刊(英文)
关键词 Gamma Function Beta Function PROBABILITY Degree of Freedom Gamma Function Beta Function Probability Degree of Freedom
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