Page 512 - Jolliffe I. Principal Component Analysis

for covariance matrices 264, 265,
337, 384
Wishart distribution 47
within-group PCs 201–209,
for observations 103, 260–262, Winsorization 266 Index 477
264–266, 268, 373, 383-386, 212–214, 352
390 within-group variation 201–209,
for PCs 354 212, 220, 351, 399
for variables 21, 383–385 within-treatment (or block) PCs,
in fixed effects model 60, 96, see PCs of residuals
124, 220, 267, 330, 386
in singular value decomposition Yanai’s generalized coefficient of
230, 266, 383, 384 determination (GCD) 96,
well separated eigenvalues, see 140, 141, 144, 252
nearly equal eigenvalues
white noise 128, 301, 304 zeros in data 348, 349, 372
multivariate white noise 302 zero-variance PCs 10, 27, 42, 43,
345, 347, 359, 390