31 KB106 KB17 KB200420242006Mahdi, Smailštevilka:112 straniletnik:3str. 63-74ISSN:1854-0023ISSN:1854-0031COBISSID:25330781URN:URN:NBN:SI:doc-H4QOVPIYenFakulteta za družbene vedeMetodološki zvezkimatematična statistikamatematični modeliocene parametrovImproved parameter estimation in rayleigh model|In this paper we describe and present results on the parameter point estimation for the scale and threshold parameters of the Rayleigh distribution. Five estimating methods have been investigated, namely, the maximum likelihood, the method of moment, the probability weighted moments method, the least square method and the least absolute deviation method. Modified maximum likelihood estimators for the parameters are also proposed. Simulation studies have shown that the modified likelihood estimator outperforms the estimators obtained with the other methods except in the case of very small samplesTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Ljubljani, Fakulteta za družbene vede