Validating Simulation Models Using Resampling

نویسنده

  • Russell Cheng
چکیده

Statistical resampling methods provide a simple, versatile and effective means of comparing and validating simulation models. The purpose of this paper is to introduce the framework for viewing such problems that the author has found very effective in tackling a wide range of practical situations. The methodology discussed already exists, and is generally available through the more specialist statistical packages. The main message of this paper is that the methodology is actually easily implemented on spreadsheets and so does not need specialist knowledge to use effectively. The commonly occurring problem of input modelling is considered in detail to illustrate how it can be tackled using spreadsheet resampling.

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تاریخ انتشار 2006