Reliability characteristics of the Maxwell distribution: A Bayes estimation study

dc.contributor.author	Bekker A.	en
dc.contributor.author	Roux J.J.J.	en
dc.date.accessioned	2012-11-01T16:31:35Z
dc.date.available	2012-11-01T16:31:35Z
dc.date.issued	2005	en
dc.identifier.citation	Communications in Statistics - Theory and Methods	en
dc.identifier.citation	34	en
dc.identifier.citation	11	en
dc.identifier.issn	3610926	en
dc.identifier.other	10.1080/STA-200066424	en
dc.identifier.uri	http://hdl.handle.net/10500/7381
dc.description.abstract	This article presents maximum likelihood. Bayes, and empirical Bayes estimators of the truncated first moment and hazard function of the Maxwell distribution. A comparison of the relative efficiency of these three estimators is performed via a Monte Carlo simulation study. Copyright © Taylor & Francis. Inc.	en
dc.language.iso	en	en
dc.subject	Bayes; Empirical Bayes estimator; Gamma prior; Hazard function; Maximum likelihood; Maxwell; Monte Carlo simulation; Relative efficiency; Squared error loss; Truncated first moment Estimation; Maximum likelihood estimation; Monte Carlo methods; Statistical methods; Bayes; Empirical Bayes estimator; Gamma prior; Hazard function; Maximum likelihood; Maxwell; Relative efficiency; Squared error loss; Maxwell equations	en
dc.title	Reliability characteristics of the Maxwell distribution: A Bayes estimation study	en
dc.type	Article	en