Iterated estimation with usage of the information about empirical distributions of discrepancies

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The iterative algorithms are considered, in which for refinement of estimations the additional information contained in discrepancies uses. The comparative characteristics of efficiency of some criteria for decision making about classes of distributions on implementations of discrepancies are obtained and the procedures, grounded on them, of updating(adjusting) of the data surveyed.

Короткий адрес: https://sciup.org/148197621

IDR: 148197621

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