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A Simple Derivation of r* for Curved Exponential Families
Authors:Jens Ledet Jensen
Institution:University of Aarhus
Abstract:For curved exponential families we consider modified likelihood ratio statistics of the form rL=r+ log( u/r)/r , where r is the signed root of the likelihood ratio statistic. We are testing a one-dimensional hypothesis, but in order to specify approximate ancillary statistics we consider the test as one in a series of tests. By requiring asymptotic independence and asymptotic normality of the test statistics in a large deviation region there is a particular choice of the statistic u which suggests itself. The derivation of this result is quite simple, only involving a standard saddlepoint approximation followed by a transformation. We give explicit formulas for the statistic u , and include a discussion of the case where some coordinates of the underlying variable are lattice.
Keywords:ancillary statistic  AR(1)-process  curved exponential family  forensic identifica tion  nuisance parameters  saddlepoint approximation
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