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Power transformation of the F distribution and a power normal family

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  • Takafumi Isogai

Abstract

To transform the F distribution to a normal distribution, two types of formula for power transformation of the F variable are introduced. One formula is an extension of the Wilson-Hilferty transformation for the chi 2 variable, and the other type is based on the median of the F distribution. Combining those two formulas, a simple formula for the median of the F distribution is derived, and its numerical accuracy is evaluated. Simplification of the formula of the Wilson-Hilferty transformation, through the median formula, leads us to construct a power normal family from the generalized F distribution. Unlike the Box-Cox power normal family, our family has a property that the covariance structure of the maximum-likelihood estimates of the parameters is invariant under a scale transformation of the response variable. Numerical examples are given to show the diff erence between two power normal families.

Suggested Citation

  • Takafumi Isogai, 1999. "Power transformation of the F distribution and a power normal family," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(3), pages 355-371.
  • Handle: RePEc:taf:japsta:v:26:y:1999:i:3:p:355-371
    DOI: 10.1080/02664769922467
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    Cited by:

    1. Takafumi Isogai & Hiroaki Uchida & Susumu Miyama & Sadao Nishiyama, 2008. "Statistical modeling of enamel rater value data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(5), pages 515-535.
    2. Takafumi Isogai, 2005. "Applications of a new power normal family," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(4), pages 421-436.

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