Abstract
We study sufficiency in terms of the extent to which the Taylor series expansion of the normed log-likelihood function generated by the sampling distribution of a statistic conforms to that of the sample normed log-likelihood function, and give an associated self-similar property of mathematical likelihood (not self-similarity in the sense of self-similar stochastic processes).
Citation
Stephen Raymond Chamberlin. "Self-similarity of mathematical likelihood." Bernoulli 5 (4) 677 - 682, august 1999.
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