A note on estimation using quantized data
نویسنده
چکیده
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.
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