Pub. Date:
Springer New York
Principal Component Analysis / Edition 2

Principal Component Analysis / Edition 2

by I.T. Jolliffe
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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.

Product Details

ISBN-13: 9781441929990
Publisher: Springer New York
Publication date: 12/01/2010
Series: Springer Series in Statistics , #1
Edition description: Softcover reprint of the original 2nd ed. 2002
Pages: 488
Product dimensions: 6.10(w) x 9.20(h) x 1.10(d)

Table of Contents

Introduction * Properties of Population Principal Components * Properties of Sample Principal Components * Interpreting Principal Components: Examples * Graphical Representation of Data Using Principal Components * Choosing a Subset of Principal Components or Variables * Principal Component Analysis and Factor Analysis * Principal Components in Regression Analysis * Principal Components Used with Other Multivariate Techniques * Outlier Detection, Influential Observations and Robust Estimation * Rotation and Interpretation of Principal Components * Principal Component Analysis for Time Series and Other Non-Independent Data * Principal Component Analysis for Special Types of Data * Generalizations and Adaptations of Principal Component Analysis

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