ON MODI-EXPONENTIAL DISTRIBUTION UNDER CONVENTIONAL TYPE-I AND TYPE-II CENSORING

被引：0

作者：

Kumawat, Harshita ^{[1
]}

Nagar, Pankaj ^{[1
]}

机构：

[1] Univ Rajasthan, Dept Stat, Jaipur 302004, India

来源：

INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2024年 / 20卷 / 01期

关键词：

Censoring; Maximum likelihood estimation; Confidence bounds; Simulation; MAXIMUM-LIKELIHOOD-ESTIMATION; WEIBULL DISTRIBUTION; RELIABILITY ESTIMATION; XII DISTRIBUTION; PARAMETERS;

D O I：

10.59467/IJASS.2024.20.97

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

In this article, a new Modi-Exponential distribution is considered under Type-I and Type-II censoring. Some statistical and reliability characteristics of the distribution are specified. Statistical inferences of the Modi-Exponential parameters based on Type-I and Type-II censored data are discussed. The maximum likelihood estimation method is used for estimation of unknown parameters along with reliability characteristics. Asymptotic confidence intervals are also obtained for interval estimation. Monte-Carlo Simulation study is performed to study the performances of estimators. Further, two real data sets are provided to illustrate the results.

引用

页码：97 / 104

页数：8

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