Advanced Linear Modeling: Statistical Learning and Dependent Data (Springer Texts in Statistics) - Image 1

£74.63

Springer Advanced Linear Modeling: Statistical Learning and Dependent Data (Springer Texts in Statistics)

Name: Advanced Linear Modeling: Statistical Learning and Dependent Data (Springer Texts in Statistics)
Brand: Springer
Price: 74.63 GBP
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Applied Mathematics

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Description

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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030291634
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 20 December 2019
Listed Since: 18 July 2019

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Springer Advanced Linear Modeling: Statistical Learning and Dependent Data (Springer Texts in Statistics)

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