By Jin-Ting Zhang
Despite learn curiosity in sensible info research within the final 3 a long time, few books can be found at the topic. Filling this hole, Analysis of Variance for practical Data offers up to date speculation trying out tools for practical facts research. The ebook covers the reconstruction of sensible observations, useful ANOVA, sensible linear versions with sensible responses, ill-conditioned practical linear versions, diagnostics of sensible observations, heteroscedastic ANOVA for practical info, and trying out equality of covariance features. even though the methodologies awarded are designed for curve info, they are often prolonged to floor data.
Useful for statistical researchers and practitioners examining practical information, this self-contained publication supplies either a theoretical and utilized remedy of useful facts research supported through easy-to-use MATLAB® code. the writer presents a few basic equipment for sensible speculation checking out. He discusses pointwise, L2-norm-based, F-type, and bootstrap assessments.
Assuming simply simple wisdom of records, calculus, and matrix algebra, the publication explains the major rules at a comparatively low technical point utilizing actual facts examples. every one bankruptcy additionally comprises bibliographical notes and workouts. genuine practical facts units from the textual content and MATLAB codes for reading the knowledge examples can be found for obtain from the author’s website.
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Additional info 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