By Jin-Ting Zhang
Despite study curiosity in useful facts research within the final 3 many years, few books can be found at the topic. Filling this hole, Analysis of Variance for practical Data offers updated speculation trying out tools for sensible facts research. The booklet covers the reconstruction of practical observations, useful ANOVA, sensible linear versions with useful responses, ill-conditioned practical linear types, diagnostics of sensible observations, heteroscedastic ANOVA for useful information, and checking out equality of covariance capabilities. even supposing the methodologies offered are designed for curve information, they are often prolonged to floor data.
Useful for statistical researchers and practitioners reading sensible info, this self-contained e-book supplies either a theoretical and utilized therapy of practical info research supported through easy-to-use MATLAB® code. the writer presents a few uncomplicated equipment for practical speculation checking out. He discusses pointwise, L2-norm-based, F-type, and bootstrap exams.
Assuming basically uncomplicated wisdom of data, calculus, and matrix algebra, the publication explains the major rules at a comparatively low technical point utilizing genuine facts examples. every one bankruptcy additionally comprises bibliographical notes and routines. actual useful information units from the textual content and MATLAB codes for studying the knowledge examples can be found for obtain from the author’s website.
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Extra resources for Analysis of Variance for Functional Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Analysis of Variance for Functional Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Jin-Ting Zhang