Parameter estimations for generalized exponential distribution under progressive type-I interval censoring

Authors:
D. G. Chen;Y. L. Lio
Affiliations:
Jiang-Ping Hsu College of Public Health, Georgia Southern University, P.O. Box 8015, Statesboro, GA 30460, USA;Department of Mathematical Sciences, University of South Dakota, Vermillion, SD 57069, USA
Venue:
Computational Statistics & Data Analysis
Year:
2010

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Abstract

The estimates, via maximum likelihood, moment method and probability plot, of the parameters in the generalized exponential distribution under progressive type-I interval censoring are studied. A simulation is conducted to compare these estimates in terms of mean squared errors and biases. Finally, these estimate methods are applied to a real data set based on patients with plasma cell myeloma in order to demonstrate the applicabilities.