The Resource Generalized additive models : an introduction with R, Simon N. Wood
Generalized additive models : an introduction with R, Simon N. Wood
Resource Information
The item Generalized additive models : an introduction with R, Simon N. Wood represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Generalized additive models : an introduction with R, Simon N. Wood represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Summary
- "Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv."--BOOK JACKET
- Language
- eng
- Extent
- xvii, 391 pages
- Contents
-
- Linear models
- Generalized linear models
- Introducing GAM's
- Some GAM theory
- GAMs in practice: mgcv
- Mixed models and GAMMs
- Isbn
- 9781584884743
- Label
- Generalized additive models : an introduction with R
- Title
- Generalized additive models
- Title remainder
- an introduction with R
- Statement of responsibility
- Simon N. Wood
- Language
- eng
- Summary
- "Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv."--BOOK JACKET
- Cataloging source
- DLC
- http://library.link/vocab/creatorName
- Wood, Simon N
- Dewey number
- 519.2/82
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA274.73
- LC item number
- .W66 2006
- Literary form
- non fiction
- Nature of contents
- bibliography
- Series statement
- Texts in statistical science
- http://library.link/vocab/subjectName
-
- Random walks (Mathematics)
- Linear models (Statistics)
- R (Computer program language)
- Lineaire modellen
- R (computerprogramma)
- Random walks (statistiek)
- Label
- Generalized additive models : an introduction with R, Simon N. Wood
- Bibliography note
- Includes bibliographical references (pages 379-383) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Linear models -- Generalized linear models -- Introducing GAM's -- Some GAM theory -- GAMs in practice: mgcv -- Mixed models and GAMMs
- Control code
- 64084887
- Dimensions
- 25 cm
- Extent
- xvii, 391 pages
- Isbn
- 9781584884743
- Isbn Type
- (acid-free paper)
- Lccn
- 2006040209
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other control number
- 9781584884743
- Other physical details
- illustrations
- System control number
- (OCoLC)64084887
- Label
- Generalized additive models : an introduction with R, Simon N. Wood
- Bibliography note
- Includes bibliographical references (pages 379-383) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Linear models -- Generalized linear models -- Introducing GAM's -- Some GAM theory -- GAMs in practice: mgcv -- Mixed models and GAMMs
- Control code
- 64084887
- Dimensions
- 25 cm
- Extent
- xvii, 391 pages
- Isbn
- 9781584884743
- Isbn Type
- (acid-free paper)
- Lccn
- 2006040209
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other control number
- 9781584884743
- Other physical details
- illustrations
- System control number
- (OCoLC)64084887
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Generalized-additive-models--an-introduction/d2VobEbw3K4/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Generalized-additive-models--an-introduction/d2VobEbw3K4/">Generalized additive models : an introduction with R, Simon N. Wood</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
