摘要
首先归纳出指数分布抽样基本定理;通过分布的识别性分析及参数的识别性分析,导出了串联系统下多元Marshall-Olkin型指数分布的一个识别特征,并由此得到了基于删失样本的含位置参数的多元Marshall-Olkin型指数分布参数的最大似然估计及一致最小方差无偏估计;通过密度分拆重组技术,还导出了随机系统下多元Marshall-Olkin型指数分布的一个特征,并由此得到了基于完全样本的含位置参数的二元Marshall-Olkin型指数分布参数的最大似然估计及无偏估计.
The fundamental sampling theorem of exponential distribution is concluded in this paper. Through identifiability analysis of the distributions and analysis of parameter identification, an identifiable characteristic of multivariate MarshallOlkin exponential distribution is derived based on series system, thus, the maximum likelihood estimator and uniformly minimum variance unbiased estimator of the multivariate Marshall-Olkin exponential distribution with location parameter under censored samples are obtained. Through the analysis of partition and reorganization of density, also a characteristic of multivariate Marshall-Olkin exponential distribution is derived based on random system, hence, the maximum likelihood estimator and unbiased estimator of the bivariate Marshall-Olkin exponential distribution with location parameter under complete samples are obtained.
引文
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