Designing of Efficient Families of Strategies for Predicting Unknown Population Mean  
Author H.S. Jhajj




Abstract Using prior information of population parameters based upon concomitant variable, two efficient families of sampling strategies for predicting the unknown value of population mean of variable of interest under simple random sampling design have been defined. It has been shown that efficient sampling strategies can be developed from the families of strategies under the given practical situations which will have smaller mean squared error than the existing ones. It is also shown that efficient strategies from the families can be obtained in the situation when the use of sample mean per unit, ratio and product estimators using same sampling design are generally recommended.


Keywords Ratio estimator, Product estimator, Mean per unit estimator, Concomitant variable, Mean squared error, Efficiency
    Article #:  1922
Proceedings of the 19th ISSAT International Conference on Reliability and Quality in Design
August 5-7, 2013 - Honolulu, Hawaii, U.S.A.