A goodness of fit algorithm for empirical data

Ralph A. Bisland, E. Scheuermann
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Abstract

This paper describes a computer program that fits empirical data to any of 10 theoretical distributions. Tests include the Chi-square, Kolmogorov-Smirnov and Moments Test. Of particular interest is an interface language which has been appended in order to ease the burden of input. This program has been used successfully in stochastic simulation and modeling courses for the past four years at the University of Southern Mississippi.
经验数据的拟合优度算法
本文描述了一个将经验数据拟合到10个理论分布中的任意一个的计算机程序。检验包括卡方检验、Kolmogorov-Smirnov检验和矩检验。特别令人感兴趣的是为了减轻输入负担而附加的接口语言。在过去的四年中,该程序已成功地应用于南密西西比大学的随机模拟和建模课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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