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Comparing a new algorithm with the classic methods for estimating the number of factors

✍ Scribed by Ronald C. Henry; Eun Sug Park; Clifford H. Spiegelman

Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 80 KB
Volume: 48
Category: Article
ISSN: 0169-7439
DOI: 10.1016/s0169-7439(99)00015-5

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✦ Synopsis

This paper presents and compares a new algorithm for finding the number of factors in a data analytic model. After we describe the new method, called NUMFACT, we compare it with standard methods for finding the number of factors to use in a model. The standard methods that we compare NUMFACT with are Malinowski's indicator function, Wold's cross-Ž . validation approach, Bartlett's test, scree plots, the rule-of-one, and using the number of factors eigenvectors needed to explain 90% of the trace of a correlation matrix. Using a diverse set of real applications, NUMFACT is shown to be the clear method of choice.

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