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The problem of adequate sample size in pattern recognition studies: The multivariate normal case (1990)

Han, J. H. ; Ward, A. J. I. ; Lavine, B. K.

New York, NY : Wiley-Blackwell

Journal of Chemometrics 4 (1990), S. 91-96

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ISSN: 0886-9383

Keywords: Sample size ; Monte Carlo ; Multivariate, normal ; Q-Q plots ; Classification ; Chemistry ; Analytical Chemistry and Spectroscopy

Source: Wiley InterScience Backfile Collection 1832-2000

Topics: Chemistry and Pharmacology

Notes: Because many pattern recognition techniques are predicated on the assumption of mutivariate normal data, Monte Carlo simulation studies were performed to determine the number of samples that are necessary to describe a multivariate normal population adequately. From these studies we have learned that hundreds of samples are required. These results suggest that parametric procedures should only be used to analyze very large data sets.

Additional Material: 3 Ill.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1002/cem.1180040110

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