Abstract: An account is given of the method of extended maximum likelihood. This differs from the standard method of maximum likelihood in that the normalisation of the probability distribution function is allowed to vary. It is thus applicable to problems in which the number of samples obtained is itself a relevant measurement. If the function is such that its size and shape can be independently varied, then the estimates given by the extended method are identical to the standard maximum likelihood estimators, though the errors require care of interpretation. If the function does not have this property, then extended maximum likelihood can give better results.
Publication Year: 1990
Publication Date: 1990-12-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 179
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