Principal components analysis /
Dunteman, George H. 1935-
Principal components analysis / George H. Dunteman. - Newbury Park : Sage Publications, �1989. - 1 online resource (96 pages) : illustrations. - Sage university papers series. Quantitative applications in the social sciences ; no. 07-069 . - Quantitative applications in the social sciences ; no. 07-069. .
Includes bibliographical references (pages 94-95).
1. Introduction -- Example -- 2. Basic concepts of principal components analysis -- 3. geometrical properties of principal components -- Example -- 4. Decomposition properties of principal components -- Decomposition of the variables -- Spectral decomposition of the correlation or covariance matrix -- 5. Principal components of patterned correlation matrices -- Example -- 6. Rotation of principal components -- Example -- 7. Using principal components to select a subset of variables -- Example -- 8. Principal components versus factor analysis -- Example -- Factor rotation -- 9. Uses of principal components in regression analysis -- Regression on principal components -- Principal components regression -- Example -- 10. Using principal components to detect outlying and influential observations -- 11. Use of principal components in cluster analysis -- 12. Use of principal components analysis in conjunction with other multivariate analysis procedures -- Use of principal components in discriminant analysis -- Example -- Use of principal components in canonical correlation analysis -- 13. Other techniques related to principal components -- Principal coordinate analysis -- Correspondence analysis.
Use copy
Principal components analysis offers researchers a 'feel' for analysing particular sets of multidimensional data. It is particularly useful in coping with multicolinearity in regression analysis, a persistent problem in behavioral and social science data sets.
Electronic reproduction.
[S.l.] :
HathiTrust Digital Library,
2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
http://purl.oclc.org/DLF/benchrepro0212
058516360X 9780585163604 9781412985475 1412985471 9780803931046 0803931042 9781452208923 1452208921
Principal components analysis.
Analyse en composantes principales.
MATHEMATICS--Probability & Statistics--Multivariate Analysis.
Principal components analysis.
Principale-componentenanalyse.
Analise multivariada.
Electronic books.
QA278.5 / .D86 1989eb
519.5/35
Principal components analysis / George H. Dunteman. - Newbury Park : Sage Publications, �1989. - 1 online resource (96 pages) : illustrations. - Sage university papers series. Quantitative applications in the social sciences ; no. 07-069 . - Quantitative applications in the social sciences ; no. 07-069. .
Includes bibliographical references (pages 94-95).
1. Introduction -- Example -- 2. Basic concepts of principal components analysis -- 3. geometrical properties of principal components -- Example -- 4. Decomposition properties of principal components -- Decomposition of the variables -- Spectral decomposition of the correlation or covariance matrix -- 5. Principal components of patterned correlation matrices -- Example -- 6. Rotation of principal components -- Example -- 7. Using principal components to select a subset of variables -- Example -- 8. Principal components versus factor analysis -- Example -- Factor rotation -- 9. Uses of principal components in regression analysis -- Regression on principal components -- Principal components regression -- Example -- 10. Using principal components to detect outlying and influential observations -- 11. Use of principal components in cluster analysis -- 12. Use of principal components analysis in conjunction with other multivariate analysis procedures -- Use of principal components in discriminant analysis -- Example -- Use of principal components in canonical correlation analysis -- 13. Other techniques related to principal components -- Principal coordinate analysis -- Correspondence analysis.
Use copy
Principal components analysis offers researchers a 'feel' for analysing particular sets of multidimensional data. It is particularly useful in coping with multicolinearity in regression analysis, a persistent problem in behavioral and social science data sets.
Electronic reproduction.
[S.l.] :
HathiTrust Digital Library,
2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
http://purl.oclc.org/DLF/benchrepro0212
058516360X 9780585163604 9781412985475 1412985471 9780803931046 0803931042 9781452208923 1452208921
Principal components analysis.
Analyse en composantes principales.
MATHEMATICS--Probability & Statistics--Multivariate Analysis.
Principal components analysis.
Principale-componentenanalyse.
Analise multivariada.
Electronic books.
QA278.5 / .D86 1989eb
519.5/35