Bias Reduction for the Maximum Likelihood Estimator of the Scale Parameter in the Half-Logistic Distribution

We derive an analytic expression for the bias, to O(n-1) of the maximum likelihood estimator of the scale parameter in the half-logistic distribution. Using this expression to bias-correct the estimator is shown to be very effective in terms of bias reduction, without adverse consequences for the estimator’s precision. The analytic bias-corrected estimator is also shown to be dramatically superior to the alternative of bootstrap-bias-correction.

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Year of publication:	2009-01-20
Authors:	Giles, David E.
Institutions:	Department of Economics, University of Victoria
Subject:	Half-logistic distribution \| Life testing \| Bias reduction

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Extent:	application/pdf
Series:	Econometrics Working Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	ISSN 1485-6441 Number 0901 12 pages
Classification:	C13 - Estimation ; C41 - Duration Analysis ; c46
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005800934