Ankündigung Erscheint vsl. Januar 2020 Abbildung von Christensen | Advanced Linear Modeling | 3rd ed. 2019 | 2020 | Statistical Learning and Depen...


Advanced Linear Modeling

Statistical Learning and Dependent Data

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3rd ed. 2019 2020. Buch. xxii, 604 S. 70 s/w-Abbildungen, 6 Farbabbildungen, Bibliographien. Hardcover

Springer. ISBN 978-3-030-29163-1

Format (B x L): 15,5 x 23,5 cm

In englischer Sprache

Das Werk ist Teil der Reihe: Springer Texts in Statistics


Now in its third edition, this companion volume to Ronald Christensen’s Plane Answers to Complex Questions uses three fundamental concepts from standard linear model theory—best linear prediction, projections, and Mahalanobis distance— to extend standard linear modeling into the realms of Statistical Learning and Dependent Data. This new edition features a wealth of new and revised content. In Statistical Learning it delves into nonparametric regression, penalized estimation (regularization), reproducing kernel Hilbert spaces, the kernel trick, and support vector machines. For Dependent Data it uses linear model theory to examine general linear models, linear mixed models, time series, spatial data, (generalized) multivariate linear models, discrimination, and dimension reduction. While numerous references to Plane Answers are made throughout the volume, Advanced Linear Modeling can be used on its own given a solid background in linear models. Accompanying R code for the analyses is available online.


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