Get 20M+ Full-Text Papers For Less Than $1.50/day. Subscribe now for You or Your Team.

Learn More →

On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown

On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown Abstract The standard tables used for the Kolmogorov-Smirnov test are valid when testing whether a set of observations are from a completely-specified continuous distribution. If one or more parameters must be estimated from the sample then the tables are no longer valid. A table is given in this note for use with the Kolmogorov-Smirnov statistic for testing whether a set of observations is from a normal population when the mean and variance are not specified but must be estimated from the sample. The table is obtained from a Monte Carlo calculation. A brief Monte Carlo investigation is made of the power of the test. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the American Statistical Association Taylor & Francis

On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown

On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown

Journal of the American Statistical Association , Volume 62 (318): 4 – Jun 1, 1967

Abstract

Abstract The standard tables used for the Kolmogorov-Smirnov test are valid when testing whether a set of observations are from a completely-specified continuous distribution. If one or more parameters must be estimated from the sample then the tables are no longer valid. A table is given in this note for use with the Kolmogorov-Smirnov statistic for testing whether a set of observations is from a normal population when the mean and variance are not specified but must be estimated from the sample. The table is obtained from a Monte Carlo calculation. A brief Monte Carlo investigation is made of the power of the test.

Loading next page...
 
/lp/taylor-francis/on-the-kolmogorov-smirnov-test-for-normality-with-mean-and-variance-mQUVPZkLEC

References (5)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1537-274X
eISSN
0162-1459
DOI
10.1080/01621459.1967.10482916
Publisher site
See Article on Publisher Site

Abstract

Abstract The standard tables used for the Kolmogorov-Smirnov test are valid when testing whether a set of observations are from a completely-specified continuous distribution. If one or more parameters must be estimated from the sample then the tables are no longer valid. A table is given in this note for use with the Kolmogorov-Smirnov statistic for testing whether a set of observations is from a normal population when the mean and variance are not specified but must be estimated from the sample. The table is obtained from a Monte Carlo calculation. A brief Monte Carlo investigation is made of the power of the test.

Journal

Journal of the American Statistical AssociationTaylor & Francis

Published: Jun 1, 1967

There are no references for this article.