Statistical Inference for Truncated Inverse Lomax Distribution and its Application to Survival Data

被引：0

作者：

Yadav A.S. ^{[1
]}

Shukla S. ^{[1
]}

Kumari A. ^{[1
]}

机构：

[1] Department of Statistics, Central University of Rajasthan, Rajasthan, Ajmer

来源：

Annals of Data Science | 2022年 / 9卷 / 04期

关键词：

Characteristics; Classical methods of estimation; Inverse Lomax distribution; Truncated inverse Lomax distribution;

D O I：

10.1007/s40745-019-00235-2

中图分类号：

学科分类号：

摘要：

In this article, truncated version of the inverse Lomax distribution has been introduced. Different statistical properties such as survival, hazard rate, reverse hazard rate, cumulative hazard rate, quantile function of the new distribution have been derived. Order statistics is also discussed. Secondly, various classical estimation procedures are used to estimate the unknown parameter of the model with the effect of truncation. Monte Carlo simulation study has been conducted for different variation of the model parameters to compare the performances of the estimators obtained by different methods of estimation. Finally, a cancer data set is used to illustrate the practical applicability of the proposed model. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

引用

页码：829 / 845

页数：16

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