Optimum strata boundaries and sample sizes in health surveys using auxiliary variables

Determining Optimum Strata Boundaries and Sample Sizes for Skewed Population with Log-Normal Distribution

The method of choosing the best boundaries that make strata internally homogeneous as far as possible is known as optimum stratification. To achieve this, the strata should be constructed in such a way that the strata variances for the characteristic under study be as small as possible. If the frequency distribution of the study variable x is known, the Optimum Strata Boundaries (OSB) could be ...

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

Exact Sampling Using Auxiliary Variables

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...