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On alternative estimators of the difference of means in the presence of missing observations

  • J. S. Mehta
  • P. A. V. B. Swamy
Article
  • 9 Downloads

Keywords

Small Variance Relative Efficiency Unbiased Estimator Alternative Estimator Incomplete Sample 
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. Anderson, T. W. (1957). Maximum likelihood estimates for a multivariate normal distribution when some observations are missing.J. Amer. Statist. Assoc. 52, 200–4.MATHCrossRefMathSciNetGoogle Scholar
  2. Lord, F. M. (1955). Estimation of parameters from incomplete data.J. Amer. Statist. Assoc. 50, 870–6.MATHCrossRefMathSciNetGoogle Scholar
  3. Mehta, J. S. and Gurland, J. (1969). Some properties and an application of a statistic arising in testing correlation.Ann. Math. Statistic. 40, 1736–45.MATHCrossRefMathSciNetGoogle Scholar
  4. Nicholson, G. E. (1957). Estimation of parameters from incomplete multivariate samples.J. Amer. Statist. Assoc. 52, 523–6.MATHCrossRefMathSciNetGoogle Scholar
  5. Rao, C. R. (1952).Advanced Statistical Methods in Biometric Research, Wiley, New York. 161–5.MATHGoogle Scholar
  6. Wilks, S. S. (1932). Moments and distribution of estimates of population parameters from fragmentary samples,Ann. Math. Statist. 3, 163–203.MATHCrossRefGoogle Scholar

Copyright information

© Springer 1973

Authors and Affiliations

  • J. S. Mehta
    • 1
    • 2
  • P. A. V. B. Swamy
    • 1
    • 2
  1. 1.Temple UniversityPhiladelphiaUSA
  2. 2.Ohio State UniversityUSA

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