A GENERAL CLASS OF ESTIMATORS OF A FINITE POPULATION MEAN USING MULTI-AUXILIARY INFORMATION UNDER TWO STAGE SAMPLING SCHEME
Keywords:
Bias, MSE, Auxiliary variables, Ratio estimator, Two stage samplingAbstract
In sample surveys, it is usual to make use of auxiliary information to increase the precision of estimators. A general class of estimators is suggested to estimate the population mean for the variable under study in two stage sampling scheme. Some special cases of this class of estimators are considered and are compared by using a data set. It turns out that the newly suggested estimators dominate all other well known estimators in terms of mean square error. Finally it is shown, how to extend the class of estimators if multi auxiliary variables are available in the cases of two stage sampling scheme.
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