Research Methodology is meant to provide a broad guideline to facilitate and steer the
whole of a research activity in any discipline. With the ambit and amount of research …

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 …

In multivariate cases, usually the minimization of sampling variances is considered as an
objective under a cost constraint. Since the variances are not unit free, it is more logical to …

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 …

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

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 …

The stratification technique which results in minimum possible variance is called optimum
stratification. The main objective of stratification is to give a better cross-section of the …

Hansen and Hurwitz (1946) suggested a technique for eliciting responses from a subsample
of the non-respondents. Khare (1987) applies this procedure of subsampling in stratified …