A comparison of the maximum likelihood estimators under ranked set sapling some of its modifications

Autor:	Hassen A. Muttlak, A. B. Shaibu
Rok vydání:	2002
Předmět:	Percentile Applied Mathematics Maximum likelihood Estimator M-estimator Simple random sample Computer Science::Digital Libraries Set (abstract data type) Computational Mathematics symbols.namesake Sample size determination Statistics symbols Fisher information Mathematics
Zdroj:	Applied Mathematics and Computation. 129:441-453
ISSN:	0096-3003
Popis:	This paper compares the maximum likelihood estimators (MLEs) of the parameters of the location-scale parameter family of distributions, under the methods of ranked set sampling (S.L. Stokes, Annals of the Institute of Statistical Mathematics 47 (3) (1995) 465), median ranked set sampling and extreme ranked set sampling (A.-B Shaibu, H.A. Muttlak, Annals of the Institute of Statistical Mathematics, submitted), and percentile ranked set sampling. Several distributions have been considered and the estimators are compared based on their asymptotic relative precision with respect to the corresponding simple random sample estimators.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b5eb6d4a2f85d1034f2cac5f6daf21df https://doi.org/10.1016/s0096-3003(01)00055-8 Zobrazit plný text záznamu Full Text from ScienceDirect