Applied Factor Analysis
Download Applied Factor Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applied Factor Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Applied Factor Analysis
Author: R. J. Rummel
language: en
Publisher: Northwestern University Press
Release Date: 1988
Applied Factor Analysis was written to help others apply factor analysis throughout the sciences with the conviction that factor analysis is a calculus of the social sciences. The book developed from research undertaken to do a 236-variable cross-national analysis.
Factor Analysis
Author: Edward E. Cureton
language: en
Publisher: Psychology Press
Release Date: 2013-11-19
This book is written primarily as a text for a course in factor analysis at the advanced undergraduate or graduate level. It is most appropriate for students of the behavioral and social sciences, though colleagues and students in other disciplines also have used preliminary copies.
Applied Factor Analysis in the Natural Sciences
Author: Richard A. Reyment
language: en
Publisher: Cambridge University Press
Release Date: 1996-09-28
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.