Parameter estimations for mixed generalized exponential distribution based on progressive type-I interval censoring

Cogent Mathematics

Chunjing Li¹  Xiaogang Dong¹  Chunjie Wang¹  Shuying Wang¹  Dehui Wang² 

[1] Changchun University of Technology;Jilin University;

关键词: progressive type-I interval censoring;    mixed generalized exponential distribution;    maximum likelihood estimation;    EM algorithm;   

DOI  :  10.1080/23311835.2017.1280913

来源: DOAJ

【 摘 要 】

This paper considers the estimation of parameters based on a progressively type-I interval-censored data from a mixed generalized exponential distribution. The maximum likelihood estimation is used but an analytic form cannot be obtained. The EM algorithm is applied to obtain the maximum likelihood estimates. The performance of the estimates is judged by a simulating study and a real data is presented to illustrate the method of estimation developed here.

【 授权许可】

Unknown