On the uniqueness of the M. L. estimates in curved exponential families

نویسنده

  • Andrej Pázman
چکیده

Curved families (cf. Efron [3]) imbedded in exponential families having full rank differentiable sufficient statistics are considered. It is proved that if the rank is less or equal to the dimension of the sample space, then the maximum likelihood estimate is unique. Examples: the gaussian nonlinear regression, the gaussian family with unknown mean and variance, the ^-distribution. Generalized curved exponential families are considered as well.

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عنوان ژورنال:
  • Kybernetika

دوره 22  شماره 

صفحات  -

تاریخ انتشار 1986