期刊文献+

Deriving CDF of Kolmogorov-Smirnov Test Statistic 被引量:1

Deriving CDF of Kolmogorov-Smirnov Test Statistic
下载PDF
导出
摘要 In this review article, we revisit derivation of the cumulative density function (CDF) of the test statistic of the one-sample Kolmogorov-Smirnov test. Even though several such proofs already exist, they often leave out essential details necessary for proper understanding of the individual steps. Our goal is filling in these gaps, to make our presentation accessible to advanced undergraduates. We also propose a simple formula capable of approximating the exact distribution to a sufficient accuracy for any practical sample size. In this review article, we revisit derivation of the cumulative density function (CDF) of the test statistic of the one-sample Kolmogorov-Smirnov test. Even though several such proofs already exist, they often leave out essential details necessary for proper understanding of the individual steps. Our goal is filling in these gaps, to make our presentation accessible to advanced undergraduates. We also propose a simple formula capable of approximating the exact distribution to a sufficient accuracy for any practical sample size.
作者 Jan Vrbik
出处 《Applied Mathematics》 2020年第3期227-246,共20页 应用数学(英文)
关键词 KOLMOGOROV-SMIRNOV Test ASYMPTOTIC DISTRIBUTIONS GENERATING Functions JACOBI THETA Kolmogorov-Smirnov Test Asymptotic Distributions Generating Functions Jacobi Theta
  • 相关文献

同被引文献4

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部