Applied Factor Analysis in the Natural Sciences

2. Auflage 1996
ISBN: 978-0-521-57556-0
Verlag: Cambridge University Press

Buch, Englisch, 383 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 622 g

This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on application rather than theory.

Autoren/Hrsg.

Reyment, Richard A.

Jvreskog, K. G.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

1. Introduction; 2. Basic mathematical and statistical concepts; 3. Aims, ideas, and models of factor analysis; 4. R-Mode methods; 5. Q-Mode methods; 6. Q-R-Mode Methods; 7. Steps in the analysis; 8. Examples and case histories.