The Resource Smoothing splines : methods and applications, Yuedong Wang
Smoothing splines : methods and applications, Yuedong Wang
Resource Information
The item Smoothing splines : methods and applications, Yuedong Wang represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Smoothing splines : methods and applications, Yuedong Wang represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline models, including polynomial, periodic, spherical, thin-plate, L-, and partial splines, as well as more advanced models, such as smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric regression, and semiparametric mix
- Language
- eng
- Extent
- 1 online resource (xxiv, 370 pages)
- Contents
-
- 1. Introduction
- 2. Smoothing spline regression
- 3. Smoothing parameter selection and inference
- 4. Smoothing spline ANOVA
- 5. Spline smoothing with heteroscedastic and/or correlated errors
- 6. Generalized smoothing spline ANOVA
- 7. Smoothing spline nonlinear regression
- 8. Semiparametric regression
- 9. Semiparametric mixed-effects models
- Isbn
- 9781420077568
- Label
- Smoothing splines : methods and applications
- Title
- Smoothing splines
- Title remainder
- methods and applications
- Statement of responsibility
- Yuedong Wang
- Language
- eng
- Summary
- A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline models, including polynomial, periodic, spherical, thin-plate, L-, and partial splines, as well as more advanced models, such as smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric regression, and semiparametric mix
- Cataloging source
- CUS
- http://library.link/vocab/creatorName
- Wang, Yuedong
- Dewey number
- 518/.5
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA297.6
- LC item number
- .W36 2011
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- Monographs on statistics and applied probability
- Series volume
- 121
- http://library.link/vocab/subjectName
-
- Smoothing (Statistics)
- Smoothing (Numerical analysis)
- Spline theory
- MATHEMATICS
- Smoothing (Numerical analysis)
- Smoothing (Statistics)
- Spline theory
- Label
- Smoothing splines : methods and applications, Yuedong Wang
- Bibliography note
- Includes bibliographical references and indexes
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 1. Introduction -- 2. Smoothing spline regression -- 3. Smoothing parameter selection and inference -- 4. Smoothing spline ANOVA -- 5. Spline smoothing with heteroscedastic and/or correlated errors -- 6. Generalized smoothing spline ANOVA -- 7. Smoothing spline nonlinear regression -- 8. Semiparametric regression -- 9. Semiparametric mixed-effects models
- Extent
- 1 online resource (xxiv, 370 pages)
- Form of item
- online
- Isbn
- 9781420077568
- Lccn
- 2011026781
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
- cl0500000404
- Specific material designation
- remote
- System control number
-
- ocn747741698
- (OCoLC)747741698
- Label
- Smoothing splines : methods and applications, Yuedong Wang
- Bibliography note
- Includes bibliographical references and indexes
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 1. Introduction -- 2. Smoothing spline regression -- 3. Smoothing parameter selection and inference -- 4. Smoothing spline ANOVA -- 5. Spline smoothing with heteroscedastic and/or correlated errors -- 6. Generalized smoothing spline ANOVA -- 7. Smoothing spline nonlinear regression -- 8. Semiparametric regression -- 9. Semiparametric mixed-effects models
- Extent
- 1 online resource (xxiv, 370 pages)
- Form of item
- online
- Isbn
- 9781420077568
- Lccn
- 2011026781
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
- cl0500000404
- Specific material designation
- remote
- System control number
-
- ocn747741698
- (OCoLC)747741698
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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.liverpool.ac.uk/portal/Smoothing-splines--methods-and-applications/ZGcH9CHnV8U/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Smoothing-splines--methods-and-applications/ZGcH9CHnV8U/">Smoothing splines : methods and applications, Yuedong Wang</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
