Kolmogorov-Smirnov test for grouped data

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Authors
Darmosiswoyo, Suharto
Subjects
Grouped data
Conover's procedure
K-S test for grouped data
Class boundary
Advisors
Barr, Donald R.
Date of Issue
1975-03
Date
March 1975
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Herein is presented a Kolmogorov-Smirnov test for grouped samples. It constitutes an application of W. J. Conover's procedure, which was originally designed for calculating exact critical levels for test with discrete distributions. This test extends the goodness-of-fit test to samples which are grouped into intervals. Critical levels in the two-sided case were calculated to a close approximation. Some examples of the application of this extension of the Kolmogorov-Smirnov test are included and comparisons with the Chi-square test, the Kolmogorov-Smirnov test for continuous distribution and for grouped samples are made. Comparisons among the three goodness-of-fit tests based on the results of computer simulations are made.
Type
Thesis
Description
Series/Report No
Department
Department of Operation Research and Administrative Science
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
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Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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Copyright is reserved by the copyright owner
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