Bias of the Maximum Likelihood Estimators of the Two-Parameter Gamma Distribution Revisited
We consider the quality of the maximum likelihood estimators for the parameters of the two-parameter gamma distribution in small samples. We show that the methodology suggested by Cox and Snell (1968) can be used very easily to bias-adjust these estimators. A simulation study shows that this analytic correction is frequently much more effective than bias-adjusting using the bootstrap – generally by an order of magnitude in percentage terms. The two bias-correction methods considered result in increased variability in small samples, and the original estimators and their bias-corrected counterparts all have similar percentage mean squared errors.
|Date of creation:||23 Sep 2009|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://web.uvic.ca/econ
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- David E. Giles, 2009. "Bias Reduction for the Maximum Likelihood Estimator of the Scale Parameter in the Half-Logistic Distribution," Econometrics Working Papers 0901, Department of Economics, University of Victoria.
- David E. Giles & Hui Feng, 2009.
"Bias - Corrected Maximum Likelihood Estimation of the Parameters of the Generalized Pareto Distribution,"
Econometrics Working Papers
0902, Department of Economics, University of Victoria.
- David E. Giles & Hui Feng & Ryan T. Godwin, 2011. "Bias - Corrected Maximum Likelihood Estimation of the Parameters of the Generalized Pareto Distribution," Econometrics Working Papers 1105, Department of Economics, University of Victoria.
- Cordeiro, Gauss M. & Klein, Ruben, 1994. "Bias correction in ARMA models," Statistics & Probability Letters, Elsevier, vol. 19(3), pages 169-176, February.
When requesting a correction, please mention this item's handle: RePEc:vic:vicewp:0908. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David Giles)
If references are entirely missing, you can add them using this form.