In multivariate stratified sampling more than one characteristic are defined on every unit of
the population. An optimum allocation which is optimum for one characteristic will generally …

When we are dealing with multivariate problem then we need an allocation which is optimal
for all the characteristics in some sense because the individual optimum allocations usually …

Decision‐making in survey sampling planning is a tricky situation; sometimes it involves
multiple objectives, with various decision variables emanating from heterogeneous and …

This paper offers a solution to the problem of finding the optimal stratification of the available
population frame, so as to ensure the minimization of the cost of the sample required to …

In the stratified random sampling, the variance estimators are popularly proposed by using
the ratio, product, regression, and exponential type estimators. Up to now, an alternative to …

In many real life situations the linear cost function does not approximate the actual cost
incurred adequately. The cost of traveling between the units selected in the sample within a …

We improve two families of unbiased estimators in general form for estimating the finite
population mean in stratified random sampling. These estimators are developed from the …

This study investigates the compromise allocation of multivariate stratified sampling with
complete response and nonresponse. We have formulated a multivariate stratified sampling …

The population parameters estimation for several areas involves the development of various
methods and techniques to improve the accuracy and efficiency of estimating population …

Improvement in the estimation of population mean has been an area of interest in sampling
theory. So many estimators have been suggested for elevated estimation of the population …