Principal Component Analysis

I. T. Jolliffe

ISBN 10: 1441929991 / ISBN 13: 9781441929990

Verlag: Springer New York, Springer New York Dez 2010, 2010

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 524 pp. Englisch.

Bestandsnummer des Verkäufers 9781441929990

Bibliografische Details

• Titel: Principal Component Analysis
• Verlag: Springer New York, Springer New York Dez 2010
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 1441929991
• ISBN-13: 9781441929990
• Einband: Taschenbuch
• Auflage: 2. Auflage
• Zustand: Neu
• Abmessungen: 235B x 155 H x 29 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 29 mm
• Gewicht: 785 Gramm

Über diesen Titel

Inhaltsangabe

Principal component analysis is central to the study of multivariate data. 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 including computer science, psychology, chemistry, and atomspheric science.

Über die Autorin bzw. den Autor

Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.