A modified class of exponential-type estimator of population-mean in simple random sampling

Autor:	Joy Uket, Emmanuel John Ekpenyong, E. I. Enang
Rok vydání:	2017
Předmět:	education.field_of_study Extremum estimator Mean squared error Population Statistics Estimator Survey sampling education Simple random sample Bootstrapping (statistics) Exponential type Mathematics
Zdroj:	International Journal of Advanced Statistics and Probability. 5:70
ISSN:	2307-9045
DOI:	10.14419/ijasp.v5i2.7345
Popis:	The problem of obtaining better ratio estimators of the population means are dominating in survey sampling. This paper provides a modified class of exponential type estimators using combinations of some existing estimators. Expressions for the bias and Mean Square Error (MSE) with the optimality conditions for this class of estimators have been established. Both analytical and numerical comparison with some existing estimators shows better performances from members of the proposed class.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fb3db52060f6f48792840003e9d48b41 https://doi.org/10.14419/ijasp.v5i2.7345 Zobrazit plný text záznamu