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
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
Note: ISSN 1485-6441
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:vic:vicewp:0901
Access Statistics for this paper
More papers in Econometrics Working Papers from Department of Economics, University of Victoria PO Box 1700, STN CSC, Victoria, BC, Canada, V8W 2Y2. Contact information at EDIRC.
Bibliographic data for series maintained by Graham Voss ().