Polansky, Alan M.
M.S. (Master of Science)
Department of Statistics
Functional data analysis (FDA) is an important technique that allows discrete data to be treated as continuous. Using FDA, data can be smoothed in order capture specific patterns as well as leaving out unwanted noise which aids in analysis. In order to smooth physical activity data, leave-one-out cross-validation can be used to calculate the smoothing parameter for each individual subject. Pseudo-data is then generated using the bootstrap resampling technique. The mean functions from the pseudo-data as well as the observed data are then compared against each other to calculate the significance of the mean functional profiles for males and females.
Buretz, Todd, "Testing the equality of mean functional kinetic energy profiles of males and females using the bootstrap" (2017). Graduate Research Theses & Dissertations. 5265.
v, 62 pages
Northern Illinois University
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