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Principal Component Analysis by I.T. Jolliffe (Hardcover, 2002)

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Product Information

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.

Product Identifiers

Publisher
Springer-Verlag New York Inc.
ISBN-13
9780387954424
eBay Product ID (ePID)
95005579

Product Key Features

Author
I.T. Jolliffe
Publication Name
Principal Component Analysis
Format
Hardcover
Language
English
Subject
Mathematics
Publication Year
2002
Type
Textbook
Number of Pages
488 Pages

Dimensions

Item Height
234mm
Item Width
156mm
Item Weight
2000g

Additional Product Features

Title_Author
I.T. Jolliffe
Series Title
Springer Series in Statistics
Country/Region of Manufacture
United States

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