Nakagami distribution as a reliability model under progressive censoring

被引：25

作者：

Kumar K. ^{[1
]}

Garg R. ^{[2
]}

Krishna H. ^{[3
]}

机构：

[1] Department of Statistics, University of Delhi, Delhi

[2] Department of Statistics, Maharshi Dayanand University, Rohtak

[3] Department of Statistics, Ch. Charan Singh University, Meerut

来源：

International Journal of System Assurance Engineering and Management | 2017年 / 8卷 / 01期

关键词：

Confidence intervals; Coverage probability; Least square estimation; Maximum likelihood estimation; Nakagami distribution; Progressive censoring;

D O I：

10.1007/s13198-016-0494-3

中图分类号：

学科分类号：

摘要：

The Nakagami distribution is widely used in communication engineering. In this article we consider this distribution as a useful life time model in life testing experiments and reliability theory. Some of its distributional properties and reliability characteristics are discussed. In order to reduce cost and time of life testing experiments progressive type II censoring is used. Maximum likelihood (ML) and least square estimators of the unknown parameters and reliability characteristics are derived with progressively type II censored sample from this distribution. Interval estimation and coverage probability based on ML estimates are obtained. Monte Carlo simulation study is performed to compare various estimates developed. Findings are illustrated by three examples, two based on simulated data sets and one consisting of a real data set. © 2016, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.

引用

页码：109 / 122

页数：13

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