Maximum likelihood estimation of Laplace parameters based on general type-II censored examples

被引：0

作者：

Aaron Childs

N. Balakrishnan

机构：

[1] McMaster University,Department of Mathematics and Statistics

[2] McMaster University,Department of Mathematics and Statistics

来源：

Statistical Papers | 1997年 / 38卷

关键词：

Order statistics; Laplace distribution; Type-II censoring; Maximum likelihood estimators; Fisher information;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, we derive the maximum likelihood estimators of the parameters of a Laplace distribution based on general Type-II censored samples. The resulting explicit MLE's turn out to be simple linear functions of the order statistics. We then examine the asymptotic variance of the estimates by calculating the elements of the Fisher information matrix.

引用

页码：343 / 349

页数：6

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