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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2017 Vol.9(2): 142-146 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1127

A Generalized Fitting Algorithm Using the Kolmogorov-Smirnov Test

Naoshi Sakamoto
Abstract—In this paper, I propose a fitting algorithm for a probability distribution for observations by using the Kolmogorov-Smirnov test. Drezner et al. propose an algorithm that calculates the mean and standard deviation of a normal distribution of observations in order to minimize the KS statistic of the Kolmogorov-Smirnov test. I generalize the algorithm of Drezner et al. and obtain the necessary conditions that enable other probability distributions to be applied. I show that it may be applied to well-known probability distributions.

Index Terms—Closest fit, kolmogorov-smirnov test, probabilistic distribution.

N. Sakamoto is with the Department of Information and Communication Engineering, Tokyo Denki University, Tokyo, Japan (e-mail: sakamoto@c.dendai.ac.jp).

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Cite:Naoshi Sakamoto, "A Generalized Fitting Algorithm Using the Kolmogorov-Smirnov Test," International Journal of Computer Theory and Engineering vol. 9, no. 2, pp. 142-146, 2017.

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