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Activity Number:
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111
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #309053 |
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Title:
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On a Moment-Based Test for Normality
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Author(s):
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Yihao Deng*+ and Chand Chauhan
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Companies:
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Indiana University Purdue University Fort Wayne and Indiana University Purdue University Fort Wayne
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Address:
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Dept of Mathematical Sciences, Fort Wayne, IN, 46835,
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Keywords:
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Test ; Normality ; Moment
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Abstract:
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Normality is one of the important assumptions in many statistical analysis. Tests for normality including skewness test, kurtosis test have been extensively studied from different aspects. In this talk, we propose an alternative test based on several moments. Since moment generating function uniquely determines a distribution, the developed test has some desired features such as simple computation, ease of understanding and reasonable power. Some simulation and numerical results are also presented.
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