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- W2018802315 abstract "SUMMARY The general problem of inference about a scalar parameter of interest 0 in the presence of a nuisance parameter A using conditional inference is considered. A condition is given under which inference based on the conditional distribution of 0, the maximum likelihood estimate of 0, given L,O the maximum likelihood estimate of A for fixed 0= O0, is optimal, in a certain sense. When this condition is not satisfied, it is shown that inference should A AA hee0dntsteosrd be based on the conditional distribution of 0 given LO, j], where J denotes the observed information for A for fixed 0 = 00, although this will involve some loss of information about 0. This information loss is shown to be related to the statistical curvature of the model." @default.
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- W2018802315 title "On the approximate elimination of nuisance parameters by conditioning" @default.
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- W2018802315 doi "https://doi.org/10.1093/biomet/81.4.649" @default.
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