A Family of Estimators for Estimating Population Variance Using Auxiliary Information in Sample Survey

Effect of Measurement Errors on a Class of Estimators of Population Mean Using Auxiliary Information in Sample Surveys

 We consider the problem of estimation the population mean of the study variate Y in presence of measurement errors when information on an auxiliary character X is known. A class of estimators for population means using information on an auxiliary variate X is defined. Expressions for its asymptotic bias and mean square error are obtained. Optimum conditions are obtained for which the mean...

An Optimum Allocation with a Family of Estimators Using Auxiliary Information in Sample Survey

A Family of Estimators of Population Mean Using Information on Two Auxiliary Attribute

Submitted: May 23, 2013; Accepted: Jul 3, 2013; Published: Jul 19, 2013 Abstract: This paper deals with the problem of estimating the finite population mean when some information on two auxiliary attributes are available. It is shown that the proposed estimator is more efficient than the usual mean estimator and other existing estimators. The study is also extended to two-phase sampling. The re...

Some improved estimators of finite population quantile using auxiliary information in sample surveys

The problem of quantile estimation using quantiles Qx( ) in which the order of the auxiliary variable is di4erent from that of the main variable to be estimated, Qy( ), is considered. Certain new estimators for the -quantile have been proposed for any sampling design. The e4ect of this modi"cation on the standard estimators, ratio, position, strati"cation, regression and di4erence type estimato...

Some Estimators for a Finite Population Mean by Using Estimated Multi-auxiliary Information

The objective of this paper is to derived difference, regression and predictive estimators for two stage sampling by using double sampling technique when multi-auxiliary information is unavailable. The mean square errors for these estimators have been derived. A numerical study is given for finding the relative comparison.