Numerous optimization problems arise in survey designs. The problem of obtaining an
optimal (or near optimal) sampling design can be formulated and solved as a mathematical …

In multivariate stratified random sampling, for practical purposes we need an allocation
which is optimum in some sense for all characteristics because the individual optimum …

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 …

The problem of determining the sample sizes in various strata when several characteristics
are under study is formulated as a nonlinear multistage decision problem. Dynamic …

The investigators always have difficulty selecting a sample for the practical use of the
stratified random sampling, such that the precision of the finite population under cost …

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 …