In stratified sampling design when the cost of measuring the units is not significant in each
stratum, the estimation of population mean or total constructed from a selected sample …

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 …

In stratified sampling when strata weights are unknown double sampling technique may be
used to estimate them. At first a large simple random sample from the population without …

This article deals with the problem of find a single usable allocation which is suits all the
characteristics involved in a multivariate stratified random sampling. The idea is to minimize …

In the paper, we have discussed a modern approach to stratification of a finite population.
We have presented a general picture of univariate and multivariate stratification, and …

Practitioners and policymakers often want estimates of the effect of an intervention for their
local community, eg, region, state, county. In the ideal, these multiple population average …

When designing surveys, survey organizations must consider numerous design features that
may have a substantial and differential impact on both data quality and survey costs. They …

In a multivariate stratified sampling design, the individual optimum allocation of one
character may not remain optimum to other characteristics. For the solution of such …

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 …