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Fitting Input Distributions

Fitting Input Distributions. Jake Blanchard University of Wisconsin - Madison Spring 2008. Introduction. If we have some data for an uncertain input parameter, we need to decide what form of distribution to use as a model and then find a way to fit the model to the data.

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Fitting Input Distributions

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  1. Fitting Input Distributions Jake Blanchard University of Wisconsin - Madison Spring 2008

  2. Introduction • If we have some data for an uncertain input parameter, we need to decide what form of distribution to use as a model and then find a way to fit the model to the data. • Matlab has some tools (in the statistics toolbox) for this purpose • Other tools are BestFit (standalone or in @Risk) and Stat::Fit (standalone – free student version available)

  3. Matlab Fitting Tool • Create data vector • Then open GUI fitting tool • dfittool

  4. Compare Weibull and Log-Norm

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