Abstract
The purpose of the paper is to attract attention to the chi-square goodness-of-fit test computation employing the SAS System possibilities. The results of the analysis based on the chi-square goodness-of-fit test application prove that the limit value for the theoretical expectations should be taken into consideration while computing and interpreting the chi-square test results. A computational procedure should be analyzed. Typical examples including analysis of the actual data and modeled sample of the generated values have been considered, and comparative analyses of the output results have been carried out. Suggested additional options in regard to possibilities concerning the chisquare goodness-of-fit test application serve for increasing the reliability of the interpretation of the output results.
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© 2006 Birkhäuser Boston
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Divinsky, M. (2006). Computational Aspect of the Chi-Square Goodness-of-Fit Test Application. In: Balakrishnan, N., Sarabia, J.M., Castillo, E. (eds) Advances in Distribution Theory, Order Statistics, and Inference. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/0-8176-4487-3_24
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DOI: https://doi.org/10.1007/0-8176-4487-3_24
Publisher Name: Birkhäuser Boston
Print ISBN: 978-0-8176-4361-4
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