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

D.G. Chen and Y.L. Lio

Computational Statistics & Data Analysis, 2010, vol. 54, issue 6, 1581-1591

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.

Keywords: Maximum; likelihood; estimate; Method; of; moments; EM; algorithm; Type-I; interval; censoring (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:54:y:2010:i:6:p:1581-1591

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