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Extension of Generalized Bernoulli Learning Models

Extension of Generalized Bernoulli Learning Models
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摘要 In this article, we study the generalized Bernoulli learning model based on the probability of success pi = ai /n where i = 1,2,...n 0a1a2ann and n is positive integer. This gives the previous results given by Abdulnasser and Khidr [1], Rashad [2] and EL-Desouky and Mahfouz [3] as special cases, where pi = i/n pi = i2/n2 and pi = ip/np respectively. The probability function P(Wn = k) of this model is derived, some properties of the model are obtained and the limiting distribution of the model is given. In this article, we study the generalized Bernoulli learning model based on the probability of success pi = ai /n where i = 1,2,...n 0a1a2ann and n is positive integer. This gives the previous results given by Abdulnasser and Khidr [1], Rashad [2] and EL-Desouky and Mahfouz [3] as special cases, where pi = i/n pi = i2/n2 and pi = ip/np respectively. The probability function P(Wn = k) of this model is derived, some properties of the model are obtained and the limiting distribution of the model is given.
出处 《Open Journal of Modelling and Simulation》 2015年第1期26-31,共6页 建模与仿真(英文)
关键词 STIRLING NUMBERS BERNOULLI Learning Models Comtet NUMBERS Inclusion-Exclusion PRINCIPLE Stirling Numbers Bernoulli Learning Models Comtet Numbers Inclusion-Exclusion Principle
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