STATISTICAL INFERENCE FOR THE LOMAX DISTRIBUTION UNDER PARTIALLY ACCELERATED LIFE TESTS WITH PROGRESSIVELY TYPE-II CENSORING WITH BINOMIAL REMOVAL

被引：0

作者：

Zaman, R. ^{[1
]}

Nasiri, P. ^{[1
]}

Shadrokh, A. ^{[1
]}

机构：

[1] Payame Noor Univ PNU, Fac Math Sci, Dept Stat, Tehran 193954697, Iran

来源：

JORDAN JOURNAL OF MATHEMATICS AND STATISTICS | 2020年 / 13卷 / 03期

关键词：

Binomial censoring scheme; EM algorithm; Lomax distribution; Maximum likelihood estimator; Optimum design; Partially accelerated life tests; Step-Stress; Type II progressive censoring; RAYLEIGH DISTRIBUTION; WEIBULL DISTRIBUTION; MAXIMUM-LIKELIHOOD;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper a step-stress Partially Accelerated Life Test (SSPALT) is obtained for Lomax distribution under progressive Type II censoring with random removals, assuming that the number of units removed at each failure time has a binomial distribution. The maximum likelihood estimators (MLEs) are derived using the expectation-maximization (EM) algorithm. The Confidence intervals for the model parameters are constructed. SSPALT plan is used to minimize the Generalized Asymptotic Variance (GAV) of the ML estimators of the model parameters. We explain the performance of our procedures using a simulation study.

引用

页码：439 / 458

页数：20

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