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

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...

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Bibliographic Details
Main Authors: Chunjie Wang, Shuying Wang, Dehui Wang, Chunjing Li, Xiaogang Dong
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Cogent Mathematics
Subjects:
Online Access:http://dx.doi.org/10.1080/23311835.2017.1280913