CLASSICAL ESTIMATION IN EXPONENTIAL POWER DISTRIBUTION UNDER TYPE-I PROGRESSIVE HYBRID CENSORING WITH BETA-BINOMIAL REMOVALS

被引：0

作者：

Sangal, Prabhat Kumar ^{[1
]}

Sinha, Archna ^{[2
]}

机构：

[1] IGNOU, Sch Sci, New Delhi 110068, India

[2] Navyug Kanya Mahavidyalaya, Dept Stat, Lucknow 226004, Uttar Pradesh, India

来源：

INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2021年 / 17卷

关键词：

Type-I progressive hybrid censoring; Beta-binomial removals; Monte carlo simulation technique; Coverage probability; WEIBULL DISTRIBUTION; BAYESIAN-ESTIMATION; INFERENCE;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

This article deals with the classical estimation in exponential power distribution based on Type-I progressive hybrid censoring with beta-binomial removals. Based on the considered censoring scheme, the maximum likelihood estimates and asymptotic confidence intervals with their coverage probabilities are computed by the Monte Carlo simulation techniques. The performance of the estimators is evaluated in terms of their biases and mean square errors as well as the widths of the confidence intervals. Applicability of the suggested approach is illustrated by analysis of a real-life dataset.

引用

页码：1973 / 1988

页数：16

共 14 条

[1]

Balakrishnan N., 2000, Progressive Censoring: Theory, Methods, and Applications

[2] Bayesian inference using product of spacings function for Progressive hybrid Type-I censoring scheme [J].