Read e-book online Analysis of variance for functional data PDF

By Jin-Ting Zhang

ISBN-10: 1439862745

ISBN-13: 9781439862742

"Preface practical information research has been a well-liked statistical study subject for the final 3 many years. useful info are usually acquired through staring at a few matters over the years, area or different continua densely. they're usually accrued from numerous examine components, together with audiology, biology, kid's development reviews, ergonomics, environmentology, me- teorology, and women's overall healthiness experiences among Read more...

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23) when k = 2. Let f = (f1 , · · · , fK )T , where fr = f (τr ), r = 1, 2, · · · , K.

They were also analyzed by Shen and Xu (2007) using their diagnostic methodologies. 6 Left-Cingulum Data The cingulum is a collection of white-matter fibers projecting from the cingulate gyrus to the entorhinal cortex in the brain, allowing for communication between components of the limbic system. It is a prominent white-matter fiber track in the brain that is involved in emotion, attention, and memory, among many other functions. To study if the Radial Diffusibility (RD) in the leftcingulumn is affected by age and family of a child, the left-cingulum data were collected for thirty-nine children from 9 to 19 years old over arc length from −60 to 60.

7 Four individual Canadian temperature curves. They are similar in shape. It seems that the temperature records have large measurement errors. MOTIVATING FUNCTIONAL DATA 9 records are with large measurement errors. To remove some of these measurement errors, some smoothing techniques may be needed. As mentioned earlier, we will introduce four major smoothing techniques for a single curve and for all the curves in a functional data set in Chapters 2 and 3, respectively. The Canadian temperature data have been analyzed in a number of papers and books in the literature, including Ramsay and Silverman (2002, 2005), Zhang and Chen (2007), and Zhang and Liang (2013) among others.

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Analysis of variance for functional data by Jin-Ting Zhang

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