Comparing a new algorithm with the classic methods for estimating the number of factors
- 1 June 1999
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 48 (1) , 91-97
- https://doi.org/10.1016/s0169-7439(99)00015-5
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Reported emissions of organic gases are not consistent with observationsProceedings of the National Academy of Sciences, 1997
- Spectral data files for self-modeling curve resolution with examples using the Simplisma approachChemometrics and Intelligent Laboratory Systems, 1997
- Analysis of daily precipitation data by positive matrix factorizationEnvironmetrics, 1994
- From the Species Problem to a General Coverage Problem via a New InterpretationThe Annals of Statistics, 1992
- On Cliff's Formula, the Kaiser-Guttman Rule, and the Number of FactorsPerceptual and Motor Skills, 1992
- Factor Comparability As A Means Of Determining The Number Of Factors And Their RotationMultivariate Behavioral Research, 1983
- Cross-Validatory Estimation of the Number of Components in Factor and Principal Components ModelsTechnometrics, 1978
- A Comprehensive Trial Of The Scree And Kg Criteria For Determining The Number Of FactorsMultivariate Behavioral Research, 1977
- Determination of the number of factors and the experimental error in a data matrixAnalytical Chemistry, 1977
- Asymptotic Theory for Principal Component AnalysisThe Annals of Mathematical Statistics, 1963