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- W2783443240 abstract "We proposed a new class of maximum a posteriori estimators for the parameters of the Gamma distribution. These estimators have simple closed-form expressions and can be rewritten as a bias-corrected maximum likelihood estimators presented by Ye and Chen [Closed-form estimators for the gamma distribution derived from likelihood equations. Am Statist. 2017;71(2):177–181]. A simulation study was carried out to compare different estimation procedures. Numerical results revels that our new estimation scheme outperforms the existing closed-form estimators and produces extremely efficient estimates for both parameters, even for small sample sizes." @default.
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- W2783443240 date "2018-01-09" @default.
- W2783443240 modified "2023-09-25" @default.
- W2783443240 title "Efficient closed-form maximum a posteriori estimators for the gamma distribution" @default.
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- W2783443240 doi "https://doi.org/10.1080/00949655.2017.1422503" @default.
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