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Articles

Optimum allocation in multivariate stratified sampling design in the presence of nonresponse with Gamma cost function

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Pages 2454-2467 | Received 11 Feb 2019, Accepted 15 May 2019, Published online: 25 May 2019

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Read on this site (3)

Rahul Varshney, Arun Pal, Mradula & Irfan Ali. (2023) Optimum allocation in the multivariate cluster sampling design under Gamma cost function. Journal of Statistical Computation and Simulation 93:2, pages 312-323.
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José Brito, Augusto Fadel & Gustavo Semaan. (2022) A genetic algorithm applied to optimal allocation in stratified sampling. Communications in Statistics - Simulation and Computation 51:7, pages 3714-3732.
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Ahteshamul Haq, Irfan Ali & Rahul Varshney. (2020) Compromise allocation problem in multivariate stratified sampling with flexible fuzzy goals. Journal of Statistical Computation and Simulation 90:9, pages 1557-1569.
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Articles from other publishers (5)

Syed Aqib Jalil, Ahteshamul Haq, Ali Al Owad, Nausheen Hashmi & Nitesh Kumar Adichwal. (2023) A hierarchical multi-level model for compromise allocation in multivariate stratified sample surveys with non-response problem. Knowledge-Based Systems 278, pages 110839.
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Yashpal Singh Raghav, Ahteshamul Haq & Irfan Ali. (2023) Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems. PLOS ONE 18:4, pages e0284784.
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Shokrya Saleh A. Alshqaq, Abdullah Ali H. Ahmadini & Irfan Ali. (2022) Nonlinear Stochastic Multiobjective Optimization Problem in Multivariate Stratified Sampling Design. Mathematical Problems in Engineering 2022, pages 1-16.
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Shazia Ghufran, Srikant Gupta & Aquil Ahmed. (2020) A fuzzy compromise approach for solving multi-objective stratified sampling design. Neural Computing and Applications 33:17, pages 10829-10840.
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Abdullah Ali H. Ahmadini, Rahul Varshney, Mradula & Irfan Ali. (2021) On multivariate-multiobjective stratified sampling design under probabilistic environment: A fuzzy programming technique. Journal of King Saud University - Science 33:5, pages 101448.
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