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- W2045451207 abstract "pair of equations in ,u and &, the maximum likelihood estimates of ,u and o, are tiresome to handle computationally (Gupta, 1952). Though some considerable attention has been given to the solution of the maximum likelihood equations in this case (Cohen, 1957), and various alternatives to the maximum likelihood estimators have been proposed (Sarhan & Greenberg, 1956, 1958; Saw, 1959), it remains an interesting field in which to apply the methods suggested in this paper. Essentially, the maximum likelihood equations are reduced to moment equations by a process which ensures that these moment equations yield estimators which are of 100 % efficiency. Early work in this field is contained in a paper by Shenton (1958), who considered the case of independent variables and the stochastic convergence of his moment estimators. The question of stochastic convergence with respect to the estimators in the case of dependent variables is not discussed here, but will possibly be the subject of a later paper." @default.
- W2045451207 created "2016-06-24" @default.
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- W2045451207 date "1962-01-01" @default.
- W2045451207 modified "2023-09-24" @default.
- W2045451207 title "Efficient moment estimators when the variables are dependent with special reference to type II censored normal data" @default.
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- W2045451207 doi "https://doi.org/10.1093/biomet/49.1-2.155" @default.
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