Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Weighted sampling, Maximum Likelihood and minimum divergence estimators   This paper explores Maximum Likelihood in parametric models in the context of
Sanov type Large Deviation Probabilities. MLE in parametric models under
weighted sampling is shown to be associated with the minimization of a specific
divergence criterion defined with respect to the distribution of the weights.
Some properties of the resulting inferential procedure are presented; Bahadur
efficiency of tests are also considered in this context.

35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
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The categories of this paper are: q-fin
1
The categories of this paper are: cs
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The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
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The categories of this paper are: comp-gas
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The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat