Some Improved Classes of Estimators using Auxiliary Information

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 Improved Estimators of Population Mean Using Information on Two Auxiliary Attributes

Some classes of estimators in the presence of non-response using auxiliary attribute

In this paper, possible solutions of problem of non-response in the variable of interest are proposed when information about an auxiliary attribute is available. By taking motivation from the previous work, modified classes have been suggested for estimating population mean. Two new generalized classes of estimators are presented along with their asymptotic biases and variances. Efficacy analys...

Improved Class of Estimators using Multi-Auxiliary Information in Successive Sampling

The present study propounded an improved class of estimators using multi-auxiliary information in successive sampling at both the design and the estimation stages. The proposed method is an extension of the work by Tankou and Dharmadhikari (1989) in successive sampling. The present study is compared with the work carried out by Olkin (1958). The numerical illustration is carried out to show the...

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.