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Estimation of Parameters of the Gamma Distribution in the Presence of Outliers Generated From Uniform Distribution

Mehdi Jabbari Nooghabi et al.

Pakistan Journal of Statistics2009article
ABDC C
Weight
0.36

What the paper says

The maximum likelihood, moment and mixture of the estimators are derived for samples from the gamma distribution in the presence of outliers generated from uniform distribution. These estimators are compared empirically when all the parameters are unknown; their bias and determinants are investigated with the help of numerical technique. We have shown that these estimators are asymptotically unbiased. At the end, we conclude that mixture estimators are better than the maximum likelihood and moment estimators.

6 citations

Cite this paper

@article{mehdi2009,
  title        = {{Estimation of Parameters of the Gamma Distribution in the Presence of Outliers Generated From Uniform Distribution}},
  author       = {Mehdi Jabbari Nooghabi et al.},
  journal      = {Pakistan Journal of Statistics},
  year         = {2009},
}

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Estimation of Parameters of the Gamma Distribution in the Presence of Outliers Generated From Uniform Distribution

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Evidence weight

0.36

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.26 × 0.4 = 0.10
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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