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Viac informácií o knihe Principal Component Analysis

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Nákupom získate 932 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Mathematics & science Mathematics Probability & statistics

• Celý názov: Principal Component Analysis
• Autor: I. T. Jolliffe
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 488
• EAN: 9780387954424
• ISBN: 0387954422
• ID: 01384406
• Nakladateľ: Springer-Verlag New York Inc.
• Hmotnosť: 924 g
• Rozmery: 243 × 166 × 35 mm
• Dátum vydania: 01. October 2002

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