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Compromise allocation in multivariate stratified sampling: An integer solution

Author

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  • M. G. M. Khan
  • M. J. Ahsan
  • Nujhat Jahan

Abstract

The problem of determining the sample sizes in various strata when several characteristics are under study is formulated as a nonlinear multistage decision problem. Dynamic programming is used to obtain an integer solution to the problem. © 1997 John Wiley & Sons, Inc.

Suggested Citation

  • M. G. M. Khan & M. J. Ahsan & Nujhat Jahan, 1997. "Compromise allocation in multivariate stratified sampling: An integer solution," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(1), pages 69-79, February.
    • Handle: RePEc:wly:navres:v:44:y:1997:i:1:p:69-79
    DOI: 10.1002/(SICI)1520-6750(199702)44:13.0.CO;2-K
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    Cited by:

    1. Shazia Ghufran & Saman Khowaja & M.J. Ahsan, 2015. "Optimum multivariate stratified double sampling design: Chebyshev's Goal Programming approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 1032-1042, May.
    2. Rahul Varshney & M. Khan & Ummatul Fatima & M. Ahsan, 2015. "Integer compromise allocation in multivariate stratified surveys," Annals of Operations Research, Springer, vol. 226(1), pages 659-668, March.
    3. Rahul Varshney & Najmussehar & M. Ahsan, 2012. "Estimation of more than one parameters in stratified sampling with fixed budget," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 75(2), pages 185-197, April.

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