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- W1973184416 abstract "A multiple equation nonlinear regression model with serially independent disturbances is considered. The estimation of the parameters in this model by maximum likelihood and minimum distance methods is discussed and our main subject is the relationship between these procedures. We establish that if the number of observations in a sample is sufficiently large, the iterated minimum distance procedure converges almost surely and the limit of this sequence of iterations is the quasi-maximum likelihood estimator." @default.
- W1973184416 created "2016-06-24" @default.
- W1973184416 creator A5077922455 @default.
- W1973184416 date "1976-05-01" @default.
- W1973184416 modified "2023-09-25" @default.
- W1973184416 title "The Iterated Minimum Distance Estimator and the Quasi-Maximum Likelihood Estimator" @default.
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- W1973184416 doi "https://doi.org/10.2307/1913973" @default.
- W1973184416 hasPublicationYear "1976" @default.
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