Second- and third-order bias reduction for one-parameter family models
β Scribed by Silvia L.P. Ferrari; Denise A. Botter; Gauss M. Cordeiro; Francisco Cribari-Neto
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 400 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
In this paper we derive second-and third-order bias-corrected maximum likelihood estimates in general uniparametric models. We compare the corrected estimates and the usual maximum likelihood estimate in terms of their mean squared errors. We also obtain closed-form expressions for bias-corrected estimates in one-parameter exponential family models. Our results cover many important and commonly used distributions. Simulation results are also given.
π SIMILAR VOLUMES
The pressure-strain correlation model of Hanjalic and Launder is extended to rotating curved shear flows. Stationary plane flow data together with the requirement that the critical Richardson number should be predicted correctly are used to determine the model constants. The value of the constants a