Wavelet Analysis of Variance ( WANOVA )
نویسنده
چکیده
The Analysis of Variance (ANOVA) is a commonly used statistical test in Statistics. The test compares the equality of means against the alternative that at least one of the means are different. In this report, we introduce a multivariate test known as Wavelet Analysis of Variance extending ANOVA to profile (functional) data. The test exploits the dimension reduction, noise elimination properties of Wavelets to determine differences among profiles from several treatments. A comparative analysis of this test with the conventional Hotelling T 2 test demonstrates higher power for Wavelet ANOVA. This report explains the WANOVA methodology and future work that can be considered under it.
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تاریخ انتشار 2013