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The Resource Introduction to multivariate analysis for the social sciences, [by] John P. Van de Geer

Introduction to multivariate analysis for the social sciences, [by] John P. Van de Geer

Label
Introduction to multivariate analysis for the social sciences
Title
Introduction to multivariate analysis for the social sciences
Statement of responsibility
[by] John P. Van de Geer
Creator
Subject
Language
eng
Cataloging source
DLC
http://library.link/vocab/creatorName
Geer, Johannes Petrus van de
Dewey number
519.5/3
Illustrations
illustrations
Index
index present
LC call number
QA278
LC item number
.G44
Literary form
non fiction
Nature of contents
bibliography
NLM call number
QA 276
NLM item number
G298i 1971
http://library.link/vocab/subjectName
  • Multivariate analysis
  • Factor Analysis, Statistical
  • Analyse multivariée
  • Multivariate analyse
  • Sociale wetenschappen
Label
Introduction to multivariate analysis for the social sciences, [by] John P. Van de Geer
Instantiates
Publication
Note
Based on the author's Inleiding in de multivariate analyse
Bibliography note
Bibliography: pages [285]-287
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Eigenvectors and Eigenvalues
  • The multinormal distribution
  • Part 2.
  • Techniques of multivariate analysis:
  • An overview of multivariate techniques
  • Simple regression and correlation
  • Multiple and partial correlation
  • Partial-correlation analysis and path analysis
  • Factor analysis
  • Canonical correlation analysis
  • Part 1.
  • Varieties of factor analysis
  • Nonrecursive linear models
  • Factors and structural equations
  • Discriminant analysis
  • Appendix:
  • An iterative solution of Eigenvalues and Eigenvectors
  • Introduction to matrix algebra:
  • An overview of matrix algebra
  • Basic concepts of matrix algebra
  • Geometric representation of matrices
  • Determinants and matrix inversion
  • Equations
  • Matrix differentiation
Control code
216723
Dimensions
24 cm
Extent
xi, 293 pages
Isbn
9780716709329
Lccn
71156044
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (WaOLN)458784
  • (OCoLC)216723
Label
Introduction to multivariate analysis for the social sciences, [by] John P. Van de Geer
Publication
Note
Based on the author's Inleiding in de multivariate analyse
Bibliography note
Bibliography: pages [285]-287
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Eigenvectors and Eigenvalues
  • The multinormal distribution
  • Part 2.
  • Techniques of multivariate analysis:
  • An overview of multivariate techniques
  • Simple regression and correlation
  • Multiple and partial correlation
  • Partial-correlation analysis and path analysis
  • Factor analysis
  • Canonical correlation analysis
  • Part 1.
  • Varieties of factor analysis
  • Nonrecursive linear models
  • Factors and structural equations
  • Discriminant analysis
  • Appendix:
  • An iterative solution of Eigenvalues and Eigenvectors
  • Introduction to matrix algebra:
  • An overview of matrix algebra
  • Basic concepts of matrix algebra
  • Geometric representation of matrices
  • Determinants and matrix inversion
  • Equations
  • Matrix differentiation
Control code
216723
Dimensions
24 cm
Extent
xi, 293 pages
Isbn
9780716709329
Lccn
71156044
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (WaOLN)458784
  • (OCoLC)216723

Library Locations

    • Thomas Jefferson LibraryBorrow it
      1 University Blvd, St. Louis, MO, 63121, US
      38.710138 -90.311107
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