Estimation of the Parameters of the Reversed Generalized Logistic Distribution with Progressive Censoring Data

The reversed generalized logistic (RGL) distributions are very useful classes of densities as they posses a wide range of indices of skewness and kurtosis. This paper considers the estimation problem for the parameters of the RGL distribution based on progressive Type II censoring. The maximum like...

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Bibliographic Details
Main Authors: Z. A. Abo-Eleneen, E. M. Nigm
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2010/539860
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