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The Resource Applied regression analysis, linear models, and related methods, John Fox

Applied regression analysis, linear models, and related methods, John Fox

Label
Applied regression analysis, linear models, and related methods
Title
Applied regression analysis, linear models, and related methods
Statement of responsibility
John Fox
Creator
Subject
Genre
Language
eng
Cataloging source
DLC
http://library.link/vocab/creatorDate
1947-
http://library.link/vocab/creatorName
Fox, John
Dewey number
300/.01/519536
Illustrations
illustrations
Index
index present
LC call number
HA31.3
LC item number
.F69 1997
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/subjectName
  • Regression analysis
  • Linear models (Statistics)
  • Social sciences
  • Linear Models
  • Regression Analysis
  • Social Sciences
Label
Applied regression analysis, linear models, and related methods, John Fox
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 575-581) and indexes
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • 5.
  • Linear Least-Squares Regression
  • 6.
  • Statistical Inference for Regression
  • 7.
  • Dummy-Variable Regression
  • 8.
  • Analysis of Variance
  • 9.
  • Statistical Theory for Linear Models
  • 1.
  • 10.
  • The Vector Geometry of Linear Models
  • 11.
  • Unusual and Influential Data
  • 12.
  • Diagnosing Nonlinearity, Nonconstant Error Variance, and Nonnormality
  • 13.
  • Collinearity and Its Purported Remedies
  • 14.
  • Extending Linear Least Squares: Time Series, Nonlinear, Robust, and Nonparametric Regression
  • Statistics and Social Science
  • 15.
  • Logit and Probit Models
  • 16.
  • Assessing Sampling Variation: Bootstrapping and Cross-Validation
  • App. A.
  • Notation
  • 2.
  • What Is Regression Analysis?
  • 3.
  • Examining Data
  • 4.
  • Transforming Data
Control code
36065974
Dimensions
26 cm
Extent
xxi, 597 pages
Isbn
9780803945401
Isbn Type
(alk. paper)
Lccn
96038084
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
Label
Applied regression analysis, linear models, and related methods, John Fox
Publication
Bibliography note
Includes bibliographical references (pages 575-581) and indexes
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • 5.
  • Linear Least-Squares Regression
  • 6.
  • Statistical Inference for Regression
  • 7.
  • Dummy-Variable Regression
  • 8.
  • Analysis of Variance
  • 9.
  • Statistical Theory for Linear Models
  • 1.
  • 10.
  • The Vector Geometry of Linear Models
  • 11.
  • Unusual and Influential Data
  • 12.
  • Diagnosing Nonlinearity, Nonconstant Error Variance, and Nonnormality
  • 13.
  • Collinearity and Its Purported Remedies
  • 14.
  • Extending Linear Least Squares: Time Series, Nonlinear, Robust, and Nonparametric Regression
  • Statistics and Social Science
  • 15.
  • Logit and Probit Models
  • 16.
  • Assessing Sampling Variation: Bootstrapping and Cross-Validation
  • App. A.
  • Notation
  • 2.
  • What Is Regression Analysis?
  • 3.
  • Examining Data
  • 4.
  • Transforming Data
Control code
36065974
Dimensions
26 cm
Extent
xxi, 597 pages
Isbn
9780803945401
Isbn Type
(alk. paper)
Lccn
96038084
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations

Library Locations

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      38.944491 -92.326012
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