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  3. Numerisk analyse

Advanced Linear Modeling

- Statistical Learning and Dependent Data
Af: Ronald Christensen Engelsk Hardback

Advanced Linear Modeling

- Statistical Learning and Dependent Data
Af: Ronald Christensen Engelsk Hardback
Tjek vores konkurrenters priser
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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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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Produktdetaljer
Sprog: Engelsk
Sider: 608
ISBN-13: 9783030291631
Indbinding: Hardback
Udgave:
ISBN-10: 3030291634
Kategori: Numerisk analyse
Udg. Dato: 20 dec 2019
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 20 dec 2019
Forfatter(e): Ronald Christensen
Forfatter(e) Ronald Christensen

Kategori Numerisk analyse

ISBN-13 9783030291631

Sprog Engelsk

Indbinding Hardback

Sider 608

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 20 dec 2019

Oplagsdato 20 dec 2019

Forlag Springer Nature Switzerland AG

Kategori sammenhænge