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Asymptotic linear prediction of extreme order statistics

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Summary

We consider the problem of predicting thesth order statistic using the lowestr order statistics from a large sample of sizen under the assumption that the sample minimum, appropriately normalized, has a non-degenerate limit distribution asn→∞. Assumingr, s fixed andn→∞ we obtain asymptotically best linear unbiased as well as asymptotically best linear invariant predictors of thesth order statistic.

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References

  1. Ahsanullah, M. (1980). Linear prediction of record values for the two parameter exponential distribution,Ann. Inst. Statist. Math.,32, 363–368.

    Article  MathSciNet  Google Scholar 

  2. David, H. A. (1981).Order Statistics, Second Edition, Wiley, New York.

    Google Scholar 

  3. Galambos, J. (1978).The Asymptotic Theory of Extreme Order Statistics, Wiley, New York.

    MATH  Google Scholar 

  4. Gnedenko, B. (1943). Sur la distribution limite du terme maximum d'une serie aleatoire,Ann. Math.,44, 423–453.

    Article  MathSciNet  Google Scholar 

  5. Greenberg, B. G. and Sarhan, A. E. (1959). Matrix inversion, its interest and application in analysis of data,J. Amer. Statist. Ass.,54, 755–766.

    MathSciNet  MATH  Google Scholar 

  6. Hall, P. (1978). Representation and limit theorems for extreme value distributions,J. Appl. Prob.,15, 639–644.

    Article  MathSciNet  Google Scholar 

  7. Kaminsky, K. S., Mann, N. R. and Nelson, P. I. (1975). Best and simplified linear invariant prediction of order statistics in location and scale families,Biometrika,62, 525–527.

    Article  MathSciNet  Google Scholar 

  8. Kaminsky, K. S. and Nelson, P. I. (1975a). Best linear unbiased prediction of order statistics in location and scale families,J. Amer. Statist. Ass.,70, 145–150.

    Article  MathSciNet  Google Scholar 

  9. Kaminsky, K. S. and Nelson, P. I. (1975b). Characterization of distributions by the form of predictors of order statistics,Statistical Distributions in Scientific Work, (eds. Patil, G. P. et al.), Reidel Publishing Co. Dordercht-Holland,3, 113–115.

    Google Scholar 

  10. Lloyd, E. H. (1962). Generalized least-squares theorem,Contributions to Order Statistics (eds. Sarhan, A. E. and Greenberg, B. G.), Wiley, New York, 20–27.

    Google Scholar 

  11. Nagaraja, H. N. (1982). Record values and extreme value distributions,J. Appl. Prob.,19, 233–239.

    Article  MathSciNet  Google Scholar 

  12. Nelson, W. (1982).Applied Life Data Analysis, Wiley, New York.

    Book  Google Scholar 

  13. Watson, G. S. (1972). Prediction and the efficiency of least squares,Biometrika,59, 91–98.

    Article  MathSciNet  Google Scholar 

  14. Weissman, I. (1978). Estimation of parameters and large quantiles based on thek largest observations,J. Amer. Statist. Ass.,73, 812–815.

    MATH  Google Scholar 

  15. Weissman, I. (1981). Confidence intervals for the threshold parameters,Comm. Statist. Theor. Method., A,10, 549–557.

    Article  MathSciNet  Google Scholar 

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Nagaraja, H.N. Asymptotic linear prediction of extreme order statistics. Ann Inst Stat Math 36, 289–299 (1984). https://doi.org/10.1007/BF02481971

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  • DOI: https://doi.org/10.1007/BF02481971

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