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The Resource Smoothing splines : methods and applications, Yuedong Wang

Smoothing splines : methods and applications, Yuedong Wang

Label
Smoothing splines : methods and applications
Title
Smoothing splines
Title remainder
methods and applications
Statement of responsibility
Yuedong Wang
Creator
Subject
Genre
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
Member of
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
Instantiates
Publication
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
Publication
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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