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Metrika

, Volume 32, Issue 1, pp 339–349 | Cite as

Estimation under two stage random permutation models

  • V. R. Padmawar
  • P. Mukhopadhyay
Publication

Summary

Estimation of the population mean under assumptions of non-informativeness of labels in a two stage finite population of distinguishable units has been studied. Under the random permutation model, for the two stage set up, sample mean, the natural estimator, is found to be the best.

Keywords

Stochastic Process Probability Theory Economic Theory Random Permutation Finite Population 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Bellhouse, D.R., M.E. Thompson, andV.P. Godambe: Two stage sampling with exchangeable prior distributions. Biometrika,64, 1977, 97–103.Google Scholar
  2. Joshi, V.M.: The best strategy for estimating the mean of a finite population. Ann. Statist., 7, 1979, 531–536.Google Scholar
  3. Padmawar, V.R., andP. Mukhopadhyay: Estimation of symmetric functions of a finite population. Metrika, 31, 1984, 89–97.Google Scholar
  4. Stenger, H.: A minimax approach to randomisation and estimation in survey sampling. Ann. Statist., 7, 1979, 395–399.Google Scholar

Copyright information

© Physica-Verlag Ges.m.b.H. 1985

Authors and Affiliations

  • V. R. Padmawar
    • 1
    • 2
  • P. Mukhopadhyay
    • 1
    • 2
  1. 1.Indian Statistical InstituteCalcutta
  2. 2.University of IFENigeria

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