Article ID Journal Published Year Pages File Type
415966 Computational Statistics & Data Analysis 2010 9 Pages PDF
Abstract

In factor analysis, it is critical to determine the number of factors. A new approach to select the number of factors based on unbiased risk estimation is introduced. This approach utilizes a concept, called generalized degrees of freedom (GDF), originally proposed for model selection in regression. A data perturbation technique is applied for estimating GDF. Simulation experiments show that the proposed method performs better than some commonly used methods.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Authors
, , ,