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 …

Survey sampling has wide range of applications in social and scientific investigation to draw
inference about the unknown parameter of interest. In complex surveys, the sample …

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 …

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

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

In a multivariate stratified sample survey, we assumed p-characteristics which are to be
measured on each unit of the population and the population is further subdivided into L …

In this paper Goal programming and D1-Distance approach is used to solve a chance
constraint multi-objective capacitated transportation problem. Generally, the capacity of each …

This article deals with the uncertainties in a multivariate stratified sampling problem. The
uncertain parameters of the problem, such as stratum standard deviations, measurement …

Stratified sampling, a widely-applicable probabilistic technique, is especially suited for large
and heterogeneously distributed populations. This paper studies optimal allocation of …

The case of nonresponse in multivariate stratified sampling survey was first introduced by
Hansen and Hurwitz in 1946 considering the sampling variances and costs to be …