Buch, Englisch, 688 Seiten, Format (B × H): 216 mm x 279 mm, Gewicht: 1043 g
Buch, Englisch, 688 Seiten, Format (B × H): 216 mm x 279 mm, Gewicht: 1043 g
ISBN: 978-0-8247-8437-9
Verlag: CRC Press
This practical reference/text presents a complete introduction to the practice of data analysis - clarifying the geometrical language used, explaining the formulae, reviewing linear algebra and multidimensional Euclidean geometry, and including proofs of results. It is intended as either a self-study guide for professionals involved in experimental research, or as a text for graduate level courses in multidimensional statistics.;The book features fully worked-out exercises, without the help of a computer, illustrating the constructions of correspondence analysis. It gives details of how to prepare, read and interpret computer results, including a complete FORTRAN program listing of the basic algorithms of factor analysis and classification. Sixteen case studies from medicine and biology, economics and the humanities, demonstrate a selection of data and interpretation of results. A foundation for agglomerative hierarchical clustering is provided.
Zielgruppe
Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Mathematische Analysis Moderne Anwendungen der Analysis
Weitere Infos & Material
The theory of correspondence analysis; numerical example of correspondence - analysis exercise illustrating the theory; reading and interpretation of the listings; analysis and interpretation; cluster analysis - agglomerative hierarchical clustering.
