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Computation of distribution functions and percentile points for popular statistic tests

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dc.contributor.advisor Prof. Huynh Ngoc Phien (Chairman) en_US
dc.contributor.advisor Dr. Vatcharaporn Esichaikul (Member) en_US
dc.contributor.advisor Dr. Hoang Le Tien (Member) en_US
dc.contributor.author Van Ngoc Sang en_US
dc.date.accessioned 2015-01-12T10:43:01Z
dc.date.available 2015-01-12T10:43:01Z
dc.date.issued 2004 en_US
dc.identifier.other AIT RSPR no.IM-04-02 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/441
dc.description 55 p. en_US
dc.description.abstract The purpose of this research is to compute and approximate the distribution functions and/or percentile points for some important distributions, such as normal, gamma, chi-square and Kolmogorov-Smirnov. The study also applied the tests based on these distributions to analyze the scores of a number of subjects taught at Tay Nguyen University in Vietnam. It was found that - All the computation methods described can provide accurate values of the distribution functions and percentile points of the considered distributions. - In a number of cases, the distribution functions and percentile points can also be represented satisfactorily by polynomial curves or surfaces. - Although the mean of the scores for a subject can vary from year to year in a two-sample test, the scores over the entire period of four years appear to belong to the same distribution for four out of five subjects. With the computation methods and the approximate formulas provided, one can readily use these in other applications. en_US
dc.description.sponsorship Ford Foundation International Fellowships Program en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject Statistic en_US
dc.title Computation of distribution functions and percentile points for popular statistic tests en_US
dc.type Research Report en_US


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