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- W2022150535 abstract "Abstract 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-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." @default.
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- W2022150535 date "1999-06-01" @default.
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- W2022150535 title "Comparing a new algorithm with the classic methods for estimating the number of factors" @default.
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- W2022150535 doi "https://doi.org/10.1016/s0169-7439(99)00015-5" @default.
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