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基于分布矩拟合的小子样二项分布参数P的置信下限
引用本文:胡思贵,赵明. 基于分布矩拟合的小子样二项分布参数P的置信下限[J]. 数学的实践与认识, 2011, 41(14)
作者姓名:胡思贵  赵明
作者单位:1. 贵阳医学院基础医学院,贵州贵阳,550004
2. 贵州大学贵州省可靠性工程中心,贵州贵阳,550025
基金项目:贵州省科技基金:黔科合[2010(3174)]
摘    要:基于分布矩拟合的原则,给出小子样二项分布成功率P的置信下限的一种计算方法,通过与经典置信下限及reformualtion方法计算的置信下限进行比较,得出分布矩拟合方法计算的置信下限是合理和可信的.

关 键 词:二项分布  置信下限  Bayes分析  参数估计

Binomial Distribution Parameter P's Lower Confidence Bound of Small Sample Based on Distribution Moments Fitting
HU Si-gui,ZHAO Ming. Binomial Distribution Parameter P's Lower Confidence Bound of Small Sample Based on Distribution Moments Fitting[J]. Mathematics in Practice and Theory, 2011, 41(14)
Authors:HU Si-gui  ZHAO Ming
Affiliation:HU Si-gui~1,ZHAO Ming~2 (1.College of Basic Medical Science,Guiyang Medical University,Guiyang 550004,China) (2.Guizhou Province Reliability Engineering Center,Guizhou University,Guiyang 550025,China)
Abstract:Based on the fitting of distribution moments,this paper presents a methods to calculate the successful probability P's lower confidence bound.Through the comparing among the Classical lower bound and the Reformulation bound,we got the conclusion that the method presented in this paper is reasonable and believable.
Keywords:binomial distribution  lower confidence bound  bayes analysis  parameter estimation  
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