Variable Identification in Modeling by the KS Monte Carlo-Bootstrap Method in P19 Aluminum Pot Cells

J.I. Paolini R. (Venezuela)

Keywords

KolmogorovSmirnov Test, Monte Carlo, Bootstrap, Resampling.

Abstract

A Bootstrap Monte Carlo Method is presented for variable identification in simulating. Starting with the application of Bootstrap and the insertion of the Kolmogorov-Smirnov test (KS) in the algorithm, a probability G is obtained of a density function f(x;θ) which has the resampling space generated by the Bootstrap method. There are examples of the application of the proposed method through the characterization of two relevant variables within the operation of P19 electrolytic pot cells of primary aluminum production.

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