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- W2057005686 abstract "Abstract In this paper we discuss estimation of parameters from quantized data. Extending some recent results appeared in the literature we show that, under a regularity assumption on the parametric model describing the data, the Maximum Likelihood estimator can be found, asymptotically, in closed form in two steps. The first is a non-linear (and invertible) mapping of the observed relative frequencies which makes the dependence on the parameters linear; the second is a linear estimator. Some simulations which demonstrate the results are included." @default.
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- W2057005686 date "2008-01-01" @default.
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- W2057005686 title "A note on estimation using quantized data" @default.
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- W2057005686 doi "https://doi.org/10.3182/20080706-5-kr-1001.02113" @default.
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