Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s)
Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s) Jolliffe I. Principal Component Analysis (2ed., Springer, 2002)(518s)
List of Tablesxxix10.2 Artistic qualities of painters: comparisons between estimated(empirical) and actual (sample) influence of individualobservations for the first two PCs, based on thecovariance matrix. ...................... 25510.3 Artistic qualities of painters: comparisons between estimated(empirical) and actual (sample) influence of individualobservations for the first two PCs, based on thecorrelation matrix. ...................... 25611.1 Unrotated and rotated loadings for components 3 and 4:artistic qualities data. .................... 27711.2 Hausmann’s 6-variable example: the first two PCs andconstrainedcomponents. .................. 28511.3 Jeffers’ pitprop data - coefficients and variance for thefirstcomponent. ....................... 28711.4 Jeffers’ pitprop data - coefficients and cumulative varianceforthefourthcomponent................... 28713.1 First two PCs: 100 km compositional data. . ....... 35013.2 First two PCs: Aitchison’s (1983) technique for 100 kmcompositional data. ..................... 350
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- Page 1: Principal ComponentAnalysis,Second
- Page 7 and 8: viPreface to the Second Editionerty
- Page 9 and 10: viiiPreface to the Second EditionA
- Page 11 and 12: xPreface to the First Editionand in
- Page 13 and 14: xiiPreface to the First EditionIn m
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- Page 17 and 18: xviAcknowledgmentsthese institution
- Page 19 and 20: xviiiContents3.4.1 Example ........
- Page 21 and 22: xxContents10 Outlier Detection, Inf
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- Page 25 and 26: xxivList of Figures5.2 Artistic qua
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- Page 29: xxviiiList of Tables6.1 First six e
- Page 33 and 34: 2 1. IntroductionFigure 1.1. Plot o
- Page 35: 4 1. IntroductionFigure 1.3. Studen
- Page 38 and 39: 1.2. A Brief History of Principal C
- Page 40 and 41: 1.2. A Brief History of Principal C
- Page 42 and 43: 2.1. Optimal Algebraic Properties o
- Page 44 and 45: 2.1. Optimal Algebraic Properties o
- Page 46 and 47: 2.1. Optimal Algebraic Properties o
- Page 48 and 49: 2.1. Optimal Algebraic Properties o
- Page 50 and 51: 2.2. Geometric Properties of Popula
- Page 52 and 53: 2.3. Principal Components Using a C
- Page 54 and 55: 2.3. Principal Components Using a C
- Page 56 and 57: 2.3. Principal Components Using a C
- Page 58 and 59: 2.4. Principal Components with Equa
- Page 60 and 61: 3Mathematical and StatisticalProper
- Page 62 and 63: where3.1. Optimal Algebraic Propert
- Page 64 and 65: 3.2. Geometric Properties of Sample
- Page 66 and 67: 3.2. Geometric Properties of Sample
- Page 68 and 69: 3.2. Geometric Properties of Sample
- Page 70 and 71: 3.3. Covariance and Correlation Mat
- Page 72 and 73: 3.3. Covariance and Correlation Mat
- Page 74 and 75: 3.4. Principal Components with Equa
- Page 76 and 77: show that X = ULA ′ .⎡ULA ′ =
- Page 78 and 79: 3.6. Probability Distributions for
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