Principal Component Analysis
✍ I.T. Jolliffe
📂 Library
📅 2002
🏛 Springer
🌐 English
✦ LIBER ✦
📁
Principal Component Analysis
✍ Scribed by I. T. Jolliffe (auth.)
- Publisher
- Springer New York
- Year
- 1986
- Tongue
- English
- Leaves
- 282
- Series
- Springer Series in Statistics
- Category
- Library
⬇ Acquire This Volume
No coin nor oath required. For personal study only.
✦ Table of Contents
Front Matter....Pages i-xiii
Introduction....Pages 1-7
Mathematical and Statistical Properties of Population Principal Components....Pages 8-22
Mathematical and Statistical Properties of Sample Principal Components....Pages 23-49
Principal Components as a Small Number of Interpretable Variables: Some Examples....Pages 50-63
Graphical Representation of Data Using Principal Components....Pages 64-91
Choosing a Subset of Principal Components or Variables....Pages 92-114
Principal Component Analysis and Factor Analysis....Pages 115-128
Principal Components in Regression Analysis....Pages 129-155
Principal Components Used with Other Multivariate Techniques....Pages 156-172
Outlier Detection, Influential Observations and Robust Estimation of Principal Components....Pages 173-198
Principal Component Analysis for Special Types of Data....Pages 199-222
Generalizations and Adaptations of Principal Component Analysis....Pages 223-234
Back Matter....Pages 235-271
✦ Subjects
Statistics, general
📜 SIMILAR VOLUMES
Principal Component Analysis
✍ I.T. Jolliffe
📂 Library
📅 2010
🏛 Springer
🌐 English
Principal Component Analysis
✍ I.T. Jolliffe
📂 Library
📅 2002
🏛 Springer
🌐 English
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.
Principal Component Analysis
✍ I.T. Jolliffe
📂 Library
📅 2002
🏛 Springer
🌐 English
Principal Component Analysis
✍ Abdi H., Williams L.
📂 Library
🌐 English
Wiley Interdisciplinary Reviews: Computational Statistics, 2010.<div class="bb-sep"></div>Статья, посвященная использованию Метода Главных Компонент (Principal Component Analysis): Выделение важной информации из множества данных, описывающих объекты. Один из основных способов уменьшить размерность д
Principal Components Analysis
✍ Dunteman G.H.
📂 Library
📅 1989
🏛 Sage
🌐 English
For anyone in need of a concise, introductory guide to principal components analysis, this book is a must. Through an effective use of simple mathematical-geometrical and multiple real-life examples (such as crime statistics, indicators of drug abuse, and educational expenditures) -- and by minimizi