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The Asymptotic Variance of the Estimated Proportion Truncated from a Normal Population

 

作者: JamesN. Hansen,   Scott Zeger,  

 

期刊: Technometrics  (Taylor Available online 1980)
卷期: Volume 22, issue 2  

页码: 271-274

 

ISSN:0040-1706

 

年代: 1980

 

DOI:10.1080/00401706.1980.10486144

 

出版商: Taylor & Francis Group

 

关键词: Asymptotic variance;Maximum likelihood estimation;Truncated normal distribution

 

数据来源: Taylor

 

摘要:

Cohen (1959, 1961) has derived simplified maximum likelihood estimators of the parameters μ and σ of a truncated normal distribution, as well as the asymptotic covariance matrix of the parameter estimates. In certain applications we need to estimate the proportion truncated or the reciprocal of this proportion and would like to know the variances of these estimates. In this paper we derive asymptotic variances for the above estimates and present the results of a simulation study which examines the rate of convergence of these variances to the asymptotic values.

 

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