使用截尾样本估计两个具有共同位置和有序尺度的指数总体的尺度参数的倒数

IF 1.2 4区 数学 Q2 STATISTICS & PROBABILITY
Mojammel Haque Sarkar, M. Tripathy
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引用次数: 0

摘要

从决策理论的观点出发,研究了在渐进式ii型筛选方案下,具有共同位置和有序尺度参数的两个指数总体的尺度参数(危害率)的倒数估计问题。损失函数被认为是二次函数。导出了最大似然估计量和一致最小方差无偏估计量。给出了仿射类和尺度等变类中改进估计量的充分条件。在此基础上,推导出了改进的mle和umvue估计量。对所提出的各种估计器进行了数值比较,得出了它们对二次损失函数的性能的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating reciprocals of scale parameters of two exponential populations with common location and ordered scales using censored samples
The problem of estimating reciprocals of scale parameters (hazard rates) from two exponential populations with a common location and ordered scale parameters have been considered under the progressive type-II censoring scheme from a decision-theoretic viewpoint. The loss function is considered as quadratic. The maximum-likelihood estimators (MLEs) and the uniformly minimum variance unbiased estimators (UMVUEs) are derived. Sufficient conditions are derived for improving estimators in affine and scale equivariant classes. Consequently, improved estimators over the MLEs and the UMVUEs are derived. A numerical comparison among all the proposed estimators is made, and conclusions are drawn regarding their performances with respect to the quadratic loss function.
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来源期刊
Statistics
Statistics 数学-统计学与概率论
CiteScore
1.00
自引率
0.00%
发文量
59
审稿时长
12 months
期刊介绍: Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.
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