Analysis of Variance for Functional Data (Chapman & Hall/CRC by Jin-Ting Zhang

By Jin-Ting Zhang

Despite learn curiosity in useful info research within the final 3 many years, few books can be found at the topic. Filling this hole, Analysis of Variance for sensible Data offers up to date speculation checking out equipment for practical facts research. The e-book covers the reconstruction of useful observations, useful ANOVA, useful linear versions with useful responses, ill-conditioned practical linear versions, diagnostics of useful observations, heteroscedastic ANOVA for sensible facts, and trying out equality of covariance services. even supposing the methodologies offered are designed for curve facts, they are often prolonged to floor data.



Useful for statistical researchers and practitioners studying sensible information, this self-contained e-book offers either a theoretical and utilized remedy of sensible information research supported by way of easy-to-use MATLAB® code. the writer presents a couple of uncomplicated tools for practical speculation checking out. He discusses pointwise, L2-norm-based, F-type, and bootstrap checks.



Assuming merely simple wisdom of statistics, calculus, and matrix algebra, the ebook explains the major rules at a comparatively low technical point utilizing genuine information examples. every one bankruptcy additionally contains bibliographical notes and routines. genuine useful info 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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