Title
Improvement in estimating the population mean in simple random sampling using information on auxiliary attribute
Abstract
This paper proposes some estimators for the population mean by adapting the estimator in Singh et al. (2008) [5] to the ratio estimators presented in Kadilar and Cingi 2006 [2]. We obtain mean square error (MSE) equation for all proposed estimators, and show that all proposed estimators are always more efficient than ratio estimator in Naik and Gupta (1996) [3], and Singh et al. (2008) [5]. The results have been illustrated numerically by taking some empirical population considered in the literature.
Year
DOI
Venue
2010
10.1016/j.amc.2009.12.041
Applied Mathematics and Computation
Keywords
Field
DocType
auxiliary attribute,efficiency,simple random sampling,ratio-type estimator,ratio estimator,mean square error
Population,Mathematical optimization,Simple random sample,Ratio estimator,Mean squared error,Sampling (statistics),Numerical analysis,Statistics,Mathematics,Estimator
Journal
Volume
Issue
ISSN
215
12
Applied Mathematics and Computation
Citations 
PageRank 
References 
10
2.38
1
Authors
4
Name
Order
Citations
PageRank
A.M. Abd-Elfattah1102.38
E.A. El-Sherpieny2102.38
S.M. Mohamed3102.38
O.F. Abdou4102.38