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- W2563399477 abstract "Based on the progressively type-Ⅱ censored sample, the maximum likelihood estimates for the parameters of the generalized Gamma distribution are studied. In dealing with the parameter confounding in this distribution, a new re-parametrization is proposed to reformulate the generalized Gamma distribution to sustain the numerical stability in the search algorithm for the maximum likelihood estimation. Intensive simulation is conducted to evaluate the maximum likelihood estimates in terms of the mean squared error and bias via the proposed reparameterization. Finally, a real data set from censored times to breakdown of an insulating fluid is used to demonstrate its applicability." @default.
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- W2563399477 date "2009-09-01" @default.
- W2563399477 modified "2023-09-24" @default.
- W2563399477 title "A Note on the Maximum Likelihood Estimation for the Generalized Gamma Distribution Parameters under Progressive Type-II Censoring" @default.
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- W2563399477 doi "https://doi.org/10.6148/ijitas.2009.0202.05" @default.
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