A user's guide to principal components [electronic resource] / J. Edward Jackson.
Principal component analysis is a multivariate technique in which a number of related variables are transformed to a set of uncorrelated variables. This paperback reprint of a Wiley bestseller is designed for practitioners of principal component analysis.
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Online Access: |
Full Text (via Wiley) |
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Main Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
New York :
Wiley,
©1991.
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Series: | Wiley series in probability and mathematical statistics. Applied probability and statistics.
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Subjects: |
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100 | 1 | |a Jackson, J. Edward. |0 http://id.loc.gov/authorities/names/n90725027 |1 http://isni.org/isni/0000000081380842 | |
245 | 1 | 2 | |a A user's guide to principal components |h [electronic resource] / |c J. Edward Jackson. |
260 | |a New York : |b Wiley, |c ©1991. | ||
300 | |a 1 online resource (xvii, 569 pages) : |b illustrations. | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a volume |b nc |2 rdacarrier | ||
490 | 1 | |a Wiley series in probability and mathematical statistics. Applied probability and statistics | |
504 | |a Includes bibliographical references (pages 497-550) and indexes. | ||
588 | 0 | |a Print version record. | |
505 | 0 | |a Getting started -- PCA with more than two variables -- Scaling of data -- Inferential procedures -- Putting it all together -- hearing loss I -- Operations with group data -- Vector interpretation I: simplifications and inferential techniques -- Vector interpretation II: rotation -- A case history-hearing loss II -- Singular value decomposition: multidimensional scaling I -- Distance models: multidimensional scaling II -- Linear models I: regression; PCA of predictor Variables -- Linear models II: analysis of variance; PCA of response variables -- Other applications of PCA -- Flatland: special procedures for two dimensions -- Odds and ends -- What is factor analysis anyhow? -- Other competitors. | |
520 | |a Principal component analysis is a multivariate technique in which a number of related variables are transformed to a set of uncorrelated variables. This paperback reprint of a Wiley bestseller is designed for practitioners of principal component analysis. | ||
546 | |a English. | ||
650 | 0 | |a Principal components analysis. |0 http://id.loc.gov/authorities/subjects/sh85106729 | |
650 | 0 | |a Factor analysis. |0 http://id.loc.gov/authorities/subjects/sh85046817 | |
650 | 0 | |a Multivariate analysis. |0 http://id.loc.gov/authorities/subjects/sh85088390 | |
650 | 7 | |a Multivariate analysis. |2 fast | |
650 | 7 | |a Factor analysis. |2 fast | |
650 | 7 | |a Principal components analysis. |2 fast | |
776 | 0 | 8 | |i Print version: |a Jackson, J. Edward. |t User's guide to principal components. |d New York : Wiley, ©1991 |z 0471622672 |w (DLC) 90028108 |
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830 | 0 | |a Wiley series in probability and mathematical statistics. |p Applied probability and statistics. |0 http://id.loc.gov/authorities/names/n42029286 | |
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