Geodesic
Optimal Allocation in Multivariate Sampling Through Chebyshev Approximation
Bulletin of the Malaysian Mathematical Society, Tome 26 (2003) no. 2
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In multivariate stratified sampling the problem of allocating the sample to various strata can be formulated as a programming problem with several linear objective functions and single convex constraint. The problem has been solved by finding the Chebyshev point for various conflicting objective functions. A comparison with the fuzzy programming solution has also been made. 
@article{BMMS_2003_26_2_a9,
     author = {S. Pirzada and S. Maqbool},
     title = {Optimal {Allocation} in {Multivariate
}                        {Sampling} {Through} {Chebyshev} {Approximation}},
     journal = {Bulletin of the Malaysian Mathematical Society},
     year = {2003},
     volume = {26},
     number = {2},
     url = {http://geodesic.mathdoc.fr/item/BMMS_2003_26_2_a9/}
}
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                        Sampling Through Chebyshev Approximation
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                        Sampling Through Chebyshev Approximation
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S. Pirzada; S. Maqbool. Optimal Allocation in Multivariate
                        Sampling Through Chebyshev Approximation. Bulletin of the Malaysian Mathematical Society, Tome 26 (2003) no. 2. http://geodesic.mathdoc.fr/item/BMMS_2003_26_2_a9/