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- W165770219 abstract "It is well known that in full families of probability measures, the empirical distribution is an efficient estimator for the unknown distribution. When the family is restricted by some finite dimensional linear constraint, then the minimum Pearson distance (MPD) estimator is efficient (Hipp (1988)). Here, for the case of a finite dimensional nonlinear constraint, four methods are given for the construction of efficient estimators. One of these is the MPD method. The simplest method is an approximation of the MPD estimator." @default.
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- W165770219 date "1991-01-01" @default.
- W165770219 modified "2023-09-23" @default.
- W165770219 title "EFFICIENT ESTIMATION UNDER CONSTRAINTS" @default.
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