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

David Giles ()

No 901, Econometrics Working Papers from Department of Economics, University of Victoria

Abstract: 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.

Keywords: Half-logistic distribution; Life testing; Bias reduction (search for similar items in EconPapers)
JEL-codes: C13 C16 C41 C46 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm and nep-ecm
Date: 2009-01-20
Note: ISSN 1485-6441
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Citations: View citations in EconPapers (3) Track citations by RSS feed

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Persistent link: https://EconPapers.repec.org/RePEc:vic:vicewp:0901

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