Self-similarity of mathematical likelihood
Raymond Chamberlin, Stephen
Bernoulli, Tome 5 (1999) no. 6, p. 677-682 / Harvested from Project Euclid
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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).
Publié le : 1999-08-14
Classification:  fidelity,  likelihood,  sufficiency 
@article{1171899323,
     author = {Raymond Chamberlin, Stephen},
     title = {Self-similarity of mathematical likelihood},
     journal = {Bernoulli},
     volume = {5},
     number = {6},
     year = {1999},
     pages = { 677-682},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1171899323}
}

Raymond Chamberlin, Stephen. Self-similarity of mathematical likelihood. Bernoulli, Tome 5 (1999) no. 6, pp.  677-682. http://gdmltest.u-ga.fr/item/1171899323/