Topp-Leone Poisson Exponential Distribution: A Classical and Bayesian Approach

被引:1
|
作者
Pathak, Anurag [1 ]
Kumar, Manoj [1 ,3 ]
Singh, Sanjay Kumar [2 ]
Singh, Umesh [2 ]
机构
[1] Cent Univ Haryana, Dept Stat, Mahendragarh 123031, India
[2] Banaras Hindu Univ, Dept Stat, Varanasi 221005, India
[3] Delhi Univ, Dept Stat, New Delhi 110007, India
关键词
MLEs; Bayes estimate; TLPE distribution; Monte Carlo simulation; FAMILY;
D O I
10.1007/s41096-023-00159-4
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we propose a new three-parameter lifetime distribution, which has increasing, decreasing and constant failure rate. The new distribution can be use on a latent complementary risk scenario. The properties of the proposed distribution are discussed, including a formal proof of its density function and an explicit algebraic formula for its quantiles, skewness, kurtosis, survival and hazard functions. Also, we have been discussed inference aspects of the model proposed via Bayesian inference by using Markov chain Monte Carlo simulation. A simulation study performed in order to investigate the classical, Bayesian properties of the proposed estimators obtained under the assumptions of non-informative priors. Further, the applicability of proposed distribution is illustrated on a real data set.
引用
收藏
页码:393 / 417
页数:25
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