Date of this Version


Document Type

Book Chapter

Publication Details

Submitted version

Chaseling, J., Steele, M., Smart, N., & Hurst, C. (2012). A comparison of the power of the discrete Kolmorgorov-Smirnov and Chi-Square Goodness of Fit tests. In K. Kumar & A. Chaturvedi (Eds.). Some Recent Developments in Statistical Theory and Applications (pp 104-109). Boca Raton, Florida, U.S.A: Brown Walker Press

Access the publisher

2012 HERDC submission. FoR code: 010401

© Copyright Kuldeep Kumar & Anoop Chaurvedi




Goodness-of-fit tests for discrete data are widely used in the health and economic disciplines but only a limited number of published power studies exist which make recommendations on relative power of these test statistics. This paper compares the power of Pearson's Chi-Square test with the discrete Kolmogorov-Smirnov test for a uniform null distribution against a number of predefined alternative distributions and makes recommendations on which is the more powerful discrete goodness-of-fit test.



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