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Abstract Details
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Activity Number:
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525
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #301438 |
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Title:
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Follow-Up Testing in Functional ANOVA
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Author(s):
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Olga A. Vsevolozhskaya*+ and Mark Greenwood
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Companies:
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Montana State University and Montana State University
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Address:
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1836 E. Valley Center Rd., Bozeman, MT, 59718,
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Keywords:
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Functional data analysis ;
Hypothesis testing ;
Multiple comparison procedures ;
Permutation methods ;
Functional ANOVA
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Abstract:
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Functional analysis of variance involves testing for differences in functional means across k groups in n functional responses. If a significant overall difference in the mean curves is detected, one may want to identify the location of these differences. Two different follow-up testing methods are discussed and contrasted. A point-wise test proposed by Cox and Lee (2008) is compared to a test based on regions of the functional domain. The methods are contrasted in terms of weak control of the family-wise error rate, strong control of the family-wise error rate, and power.
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