Principal components analysis / George H. Dunteman.
Τύπος υλικού:
ΚείμενοΣειρά: Quantitative applications in the social sciences ; no. 07-069.Λεπτομέρειες δημοσίευσης: Newbury Park : Sage Publications, �1989.Περιγραφή: 1 online resource (96 pages) : illustrationsΤύπος περιεχομένου: - text
- computer
- online resource
- 058516360X
- 9780585163604
- 9781412985475
- 1412985471
- 9780803931046
- 0803931042
- 9781452208923
- 1452208921
- 519.5/35 20
- QA278.5 .D86 1989eb
- 31.73
- digitized 2010 committed to preserve
Includes bibliographical references (pages 94-95).
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.
Print version record.
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.
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