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 be far from optimum for others. To resolve this problem, a compromise criterion is needed to work out a usable allocation. In this manuscript, a compromise criterion is discussed and integer compromise allocations are obtained by using goal programming technique. A numerical example is presented to illustrate the computational details, which reveals that the proposed criterion is suitable for working out a usable compromise allocation for multivariate stratified surveys.
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The authors are grateful to the Editors and the learned Reviewers for their valuable comments and suggestions that helped to revise the manuscript in its present form. The author M. J. Ahsan is thankful for the financial assistance provided under ‘Emeritus Fellowship’ by the University Grants Commission, Govt. of India to carry out this research.
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Varshney, R., Khan, M.G.M., Fatima, U. et al. Integer compromise allocation in multivariate stratified surveys. Ann Oper Res 226, 659–668 (2015). https://doi.org/10.1007/s10479-014-1734-z