Skip to main content
SpringerLink
Log in

A characterization using the conditional variance

  • Published:
Metrika Aims and scope Submit manuscript

Abstract

A class of probability distributions is characterized assuming that the conditional variance of a functionh (X), givenX>x, is constant.

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

Access this article

Log in via an institution

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

  • Feller, W.: An introduction to probability theory and its applications. Vol. II. New York 1971.

  • Guerrieri, G.: Talune proprieta caratteristiche delle distribuzioni esponeziali. Giornale Economisti24, 1965, 427–437.

    Google Scholar 

  • Hamdan, M.A.: On a characterization by conditional expectation. Technometrics12, 1972, 477–479.

    Google Scholar 

  • Nagaraja, H.N.: Characterization of some distributions by conditional moments. J. Indian Statist. Ass.13, 1975, 57–61.

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Statistical Unit, University of Athens, Panepistemiopolis, Couponia, (621), Athens, Greece

    A. C. Dallas

Authors
  1. A. C. Dallas
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dallas, A.C. A characterization using the conditional variance. Metrika 28, 151–153 (1981). https://doi.org/10.1007/BF01902888

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01902888

Keywords

Search

Navigation