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American Journal of Computational Mathematics

American Journal of Computational Mathematics

American Journal of Computational Mathematics

ISSN Print: 2161-1203
ISSN Online: 2161-1211
www.scirp.org/journal/ajcm
E-mail: ajcm@scirp.org
"Chebyshev Approximate Solution to Allocation Problem in Multiple Objective Surveys with Random Costs"
written by Mohammed Faisal khan, Irfan Ali, Qazi Shoeb Ahmad,
published by American Journal of Computational Mathematics, Vol.1 No.4, 2011
has been cited by the following article(s):
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  • CrossRef
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[2] Алгоритмы размещения файлов в компьютерных сетях
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[3] A Branch and Bound Approach to Optimal Allocation in Stratified Sampling
Mathematical Theory and Modeling, 2016
[4] Optimum multivariate stratified double sampling design: Chebyshev's Goal Programming approach
Journal of Applied Statistics, 2015
[5] Three-Stage Stochastic Multivariate Stratified Sample Survey
Pakistan Journal of Statistics and Operation Research, 2015
[6] Separable Programming to a Multivariate Allocation Problem
2015
[7] Integer programming formulations applied to optimal allocation in stratified sampling
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[8] Estymacja wartości przeciętnej uwzględniająca koszt pozyskania danych
Prace Naukowe / Uniwersytet Ekonomiczny w Katowicach, 2014
[9] An Optimal Chance Constraint Multivariate Stratified Sampling Design Using Auxiliary Information
ournal of Mathematical Modelling and Algorithms in Operations Research, Springer?, 2014
[10] Multi-Objective Stochastic Multivariate Stratified Sampling in Presence of Non-Response
Communications in Statistics-Simulation and Computation, 2014
[11] Mathematical Programming approach in reliability
2013
[12] An Integer Programming Formulation Applied to Optimum Allocation in Multivariate Stratified Sampling
arXiv preprint arXiv, 2013
[13] Compromise Allocation in Multivariate Stratified Sampling: A Stochastic Programming Approach
SOUTH PACIFIC JOURNAL OF PURE AND APPLIED MATHEMATICS, 2013
[14] MULTI-CHOICE DECISION-MAKING APPROACH IN UNCERTAIN MULTIVARIATE STRATIFIED SAMPLING UNDER TWO-STAGE RANDOMIZED RESPONSE …
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