A New Truncated Lindley-Generated Family of Distributions: Properties, Regression Analysis, and Applications

被引:0
|
作者
Hussein, Mohamed [1 ,2 ]
Rodrigues, Gabriela M. [3 ]
Ortega, Edwin M. M. [3 ]
Vila, Roberto [4 ]
Elsayed, Howaida [2 ]
机构
[1] Alexandria Univ, Dept Math & Comp Sci, Alexandria 21544, Egypt
[2] King Khalid Univ, Coll Business, Dept Business Adm, Abha 61421, Saudi Arabia
[3] Univ Sao Paulo, Dept Exact Sci, BR-13418900 Piracicaba, Brazil
[4] Univ Brasilia, Dept Stat, BR-70910900 Brasilia, Brazil
关键词
censored data; survival function; maximum likelihood; regression model; COVID-19; data;
D O I
10.3390/e25091359
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We present the truncated Lindley-G (TLG) model, a novel class of probability distributions with an additional shape parameter, by composing a unit distribution called the truncated Lindley distribution with a parent distribution function G(x). The proposed model's characteristics including critical points, moments, generating function, quantile function, mean deviations, and entropy are discussed. Also, we introduce a regression model based on the truncated Lindley-Weibull distribution considering two systematic components. The model parameters are estimated using the maximum likelihood method. In order to investigate the behavior of the estimators, some simulations are run for various parameter settings, censoring percentages, and sample sizes. Four real datasets are used to demonstrate the new model's potential.
引用
收藏
页数:26
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