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On approximating the distribution of quadratic forms in uniform and beta order statistics

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  • Serge Provost
  • A. Mohsenipour

Abstract

This paper provides a moment-based approximation to the distribution of a quadratic forms in uniform random variables and in order statistics from a uniform population. Certain goodness-of-fit statistics can be expressed in terms of the latter. In particular, it is shown that the proposed methodology yields more accurate percentiles than a previously used approximation in connection with a criterion that is expressible as a quadratic form in order statistics from a uniform distribution. The more general case of quadratic forms in beta random variables is also discussed. The density approximants are expressed as the product of a beta distributed base density function and a polynomial adjustment. Several illustrative examples are provided. Copyright Sapienza Università di Roma 2013

Suggested Citation

  • Serge Provost & A. Mohsenipour, 2013. "On approximating the distribution of quadratic forms in uniform and beta order statistics," METRON, Springer;Sapienza Università di Roma, vol. 71(2), pages 123-138, September.
  • Handle: RePEc:spr:metron:v:71:y:2013:i:2:p:123-138
    DOI: 10.1007/s40300-013-0014-z
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