In multivariate stratified sample survey with L strata, let p-characteristics are defined on each
unit of the population. To estimate the unknown p-population means of each characteristic, a …

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 …

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

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 …

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

In this paper, we established a framework for finding out the optimal allocation in the
multivariate stratified sample using the fuzzy compromise method. The problem of …

The optimal allocation of stratified sample in multivariate surveys faces two main challenges.
First, optimization of the conflicting objectives of the variation of the estimates and survey …

Randomized controlled trials (RCTs) typically aim to identify a causal effect of a treatment on
an outcome. Due to voluntary participation and exclusion criteria, inferences made from …

Over the last decades, many researchers have studied and proposed new methods for the
solution of the multivariate optimal allocation problem, which can be performed by choosing …

An essential stage in research is choosing an adequate sample size and sampling strategy.
In order to obtain the most accurate estimates possible when surveying high density apple …