Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once ...
Read More
Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition. Researchers in statistics, or in other fields that use principal component analysis, will find that the book gives an authoritative yet accessible account of the subject. It is also a valuable resource for graduate courses in multivariate analysis. The book requires some knowledge of matrix algebra. Ian Jolliffe is Professor of Statistics at the University of Aberdeen. He is author or co-author of over 60 research papers and three other books. His research interests are broad, but aspects of principal component analysis have fascinated him and kept him busy for over 30 years.
Read Less
Add this copy of Principal Component Analysis (Springer Series in to cart. $58.93, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2002 by Springer.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Add this copy of Principal Component Analysis (Springer Series in to cart. $73.47, very good condition, Sold by Griffin Books rated 5.0 out of 5 stars, ships from Stamford, CT, UNITED STATES, published 2002 by Springer.
Add this copy of Principal Component Analysis (Springer Series in to cart. $82.21, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2002 by Springer.
Add this copy of Principal Component Analysis (Springer Series in to cart. $150.54, like new condition, Sold by Griffin Books rated 5.0 out of 5 stars, ships from Stamford, CT, UNITED STATES, published 2002 by Springer.
Add this copy of Principal Component Analysis to cart. $153.00, good condition, Sold by Orrin Schwab - BOOKS rated 4.0 out of 5 stars, ships from Providence, UT, UNITED STATES, published 2002 by Springer.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Very Good- 0387954422. Glossy hardback covers show light wear to the spine edges and corners.; Springer Series In Statistics; 9.1 X 6.2 X 1.4 inches; 518 pages.
