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Theory & Methods: On Efron’s Parameterization

Author

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  • Etsuo Kumagai
  • Nobuo Inagaki
  • Kiyoshi Inoue

Abstract

This paper discusses a curved exponential family of distributions which is defined by a differential equation with respect to the expectation parameters in the two–dimensional exponential family. The differential equation considered here is the same as the one given by Efron (1975) for the trinomial distribution. This equation is extended here to a general exponential family, and called Efron’s parameterization in the two–dimensional exponential family. The solution of Efron’s parameterization is obtained explicitly in an exponential family, although Kumagai & Inagaki (1996) showed that there exists no proper solution of Efron’s equation for the trinomial distribution, in line with the counterexample given by Efron (1975 p. 1206). The paper gives some characterizations of Efron’s parameterization with special reference to Fisher’s circle model. The implications of these characterizations are the two–dimensional normal distribution and a spiral curve in the plane.

Suggested Citation

  • Etsuo Kumagai & Nobuo Inagaki & Kiyoshi Inoue, 2002. "Theory & Methods: On Efron’s Parameterization," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 44(3), pages 337-343, September.
    • Handle: RePEc:bla:anzsta:v:44:y:2002:i:3:p:337-343
    DOI: 10.1111/1467-842X.00235
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