ERIC Number: ED641989
Record Type: Non-Journal
Publication Date: 2021
Pages: 76
Abstractor: As Provided
ISBN: 979-8-7806-5596-1
ISSN: N/A
EISSN: N/A
Available Date: N/A
A Maximum Test of Three Non-Parametric Two-Sample Procedures for Ordinal Data
Lotfi Simon Kerzabi
ProQuest LLC, Ph.D. Dissertation, Wayne State University
Monte Carlo methods are an accepted methodology in regards to generation critical values for a Maximum test. The same methods are also applicable to the evaluation of the robustness of the new created test. A table of critical values was created, and the robustness of the new maximum test was evaluated for five different distributions. Robustness of the new test was established, and it proved to be robust to type 1 errors. The addition of the Van Der Waerden normal scores test did not appear to have caused a significant increase in Type I error rates. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]
Descriptors: Data, Monte Carlo Methods, Testing, Evaluation Research, Error of Measurement, Measurement, Nonparametric Statistics, Evaluation Methods
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
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