MLE,Information, Ancillary Complement,and Conditional Inference with Illustrations |
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Authors: | Nitis Mukhopadhyay Yan Zhuang |
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Institution: | 1.Department of Statistics,University of Connecticut,Storrs,USA |
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Abstract: | Fisher’s (Proceedings of Royal Society Series A 144, 285–307 1934, 1956) example remains a classic where the maximum likelihood estimator (T) was non-sufficient, had less than full information, but an ancillarity complement (S) helped in recovering the full information \(\mathcal {I}_{(T,S)}(\theta )\). In the absence of other readily accessible easy-to-grasp examples of similar nature, we begin with general calculations for useful information entities, both unconditional (\(\mathcal {I}_{T}(\theta )\)) and conditional (\(\mathcal {I}_{T\mid S}(\theta )\)). These have led us to propose a number of new illustrations in the spirit of the original example. Then, we introduce a multivariate data extension of the original example with an illustration. We wrap up this investigation with an example of a non-sufficient MLE T that has (i) the full Fisher information, and (ii) has an ancillary complement S. |
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