A study of the properties of a new goodness-of-fit test
By: by Richard Franke and Toke Jayachandran
Contributors: Jayachandran, Toke; Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School
Published: 1980
Place of publication: Monterey, CA
Language: eng
Number of pages: 93
Subjects: Mathematical statistics; Multivariate analysis; Distribution (Probability theory); Data processing
Description: We investigate the power properties of a new goodness-of-fit test proposed by Foutz (1980). This new test is compared with the Chi squared test and the Kolmogorov-Smirnov (K-S) test for normality when the samples come from (1) the family of asymmetric stable distributions, (2) mixture of normal distributions, and (3) the Pearson family. The general conclusion is that the new test performs better than the Chi squared and the K-S test when the parent distribution is heavy tailed. If the hypothesized distribution differs from the true distribution in location only, the new test does not do as well as the other two. (Author)
Notes: Title from cover.

"Prepared for: Chief of Naval Research; Arlington, Virginia 22217" -- Cover.

"NPS-53-80-003."

"Technical report for period January-March 1980."

Includes bibliographic references (p. 32).

"Approved for public release; distribution is unlimited."

Technical report; January-March 1980.