Unbiased Estimation for the General Half-Normal Distribution

A. G. Nogales and P. Pérez

Communications in Statistics - Theory and Methods, 2015, vol. 44, issue 17, 3658-3667

Abstract: This work proposes unbiased estimators for the parameters of the general half-normal distribution that exhibit a better performance than the estimators based on maximum likelihood proposed in the literature. From these estimators, large sample confidence sets are also derived.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:44:y:2015:i:17:p:3658-3667

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DOI: 10.1080/03610926.2014.898966

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