Skip to main content
Log in

Summary

It is well-known that for a large family of distributions, the sample midrange is asymptotically logistic. In this article, the logistic midrange is closely examined. Its distribution function is derived using Dixon's formula (Bailey (1935,Generalized Hypergeometric Series, Cambridge University Press, p. 13)) for the generalized hypergeometric function with unit argument, together with appropriate techniques for the inversion of (bilateral) Laplace transforms. Several relationships in distribution are established between the midrange and sample median of the logistic and Laplace random variables. Possible applications in testing for outliers are also discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Amemiya, T. (1980). Then −2-order mean squared errors of the maximum chi-square estimator,Ann. Statist.,8, 488–503.

    Article  MathSciNet  Google Scholar 

  2. Bailey, W. N. (1935).Generalized Hypergeometric Series, Cambridge University Press, London.

    MATH  Google Scholar 

  3. Berkson, J. (1944). Application of the logistic function to bio-assay,J. Amer. Statist. Ass.,39, 357–365.

    Google Scholar 

  4. Cox, D. R. (1970).Analysis of Binary Data, Methuen, London.

    MATH  Google Scholar 

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

    MATH  Google Scholar 

  6. George, E. O. and Rousseau, C. C. (1986). A moment generating function, Problem 85-22 in Problems and Solutions,Soc. Industr. Appl. Math. (Review). (to appear).

  7. Gumbel, E. J. (1944). Ranges and midranges,Ann. Math. Statist.,15, 414–422.

    Article  MathSciNet  Google Scholar 

  8. Karlin, S. (1968).Total Positivity, 1, Stanford University Press, Stanford, California.

    MATH  Google Scholar 

  9. Knuth, D. E. (1973).The Art of Computer Programming, 1, Fundamental Algorithms, Addison-Wesley, Reading, Massachusetts.

    Google Scholar 

  10. Pearl, R. and Reed, L. J. (1920). On the rate of growth of population of the United States since 1790 and its mathematical representation,Proc. Nat. Acad. Sci. USA,6, 275–288.

    Article  Google Scholar 

  11. Plackett, R. L. (1959). The analysis of life test data,Technometrics,1, 9–19.

    Article  MathSciNet  Google Scholar 

  12. Verhulst, P. F. (1845). Recherches mathematiques sur la loi d'accroisement de la population,Nouveaux memoirs de l'ac Bruxelles,18, 1–38.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

George, E.O., Rousseau, C.C. On the logistic midrange. Ann Inst Stat Math 39, 627–635 (1987). https://doi.org/10.1007/BF02491495

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02491495

Key words and phrases

Navigation