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dc.contributor.author莊于億en_US
dc.contributor.authorChuang, Yu-Yien_US
dc.contributor.author彭南夫en_US
dc.contributor.authorPeng, Nan-Fuen_US
dc.date.accessioned2014-12-12T01:50:11Z-
dc.date.available2014-12-12T01:50:11Z-
dc.date.issued2010en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079826504en_US
dc.identifier.urihttp://hdl.handle.net/11536/47670-
dc.description.abstract我們使用兩個Binomial 之和的分布去逼近m個獨立但不同分配 的Bernoulli相加分布(Poisoon Binomial分布),其中兩個Binomial 裡面的三個變數是利用讓前三階動差一致所得到的。由程式運算,得 知兩個Binomial 之和比利用一個Binomial 去逼近結果更精準,最後 討論其原因。zh_TW
dc.description.abstractWe approximate the distribution of the sum of m independent but not necessarily identically distributed Bernoulli random variables using the distribution of the sum of two binomials, where the three parameters of two binomials are chosen to match the first three moments. Operation by the program, we know the sum of two Binomials is more accurate than one Binomial. Finally, we discuss the reason.en_US
dc.language.isozh_TWen_US
dc.subjectPoisson binomial distributionzh_TW
dc.subjectPoisson binomial distributionen_US
dc.title以兩個Binomial之和逼近Poisson Binomial分布zh_TW
dc.titleSum of two binomial approximation to poisson binomial distributionen_US
dc.typeThesisen_US
dc.contributor.department統計學研究所zh_TW
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