A Comparison of the Pearson Chi-Square and Kolmogorov Goodness-of-Fit Tests with Respect to Validity

@article{Slakter1965ACO,
  title={A Comparison of the Pearson Chi-Square and Kolmogorov Goodness-of-Fit Tests with Respect to Validity},
  author={M. Slakter},
  journal={Journal of the American Statistical Association},
  year={1965},
  volume={60},
  pages={854-858}
}
  • M. Slakter
  • Published 1965
  • Mathematics
  • Journal of the American Statistical Association
  • Abstract This paper compares the Pearson Chi-Square and Kolmogorov good-ness-of-fit tests with respect to validity under the following conditions: (1) the N independent observations are tabulated and arranged into k mutually exclusive groups that are equally probable under the hypothesis to be tested; and (2) both N and k are “small”; i.e., not greater than 50. A random sampling experiment was performed, and the results show that in general for the conditions considered, the Pearson test is… CONTINUE READING
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