Classification of repeated measurements using bias corrected Euclidean distance discriminant function
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s42952-023-00246-z.pdf
Reference24 articles.
1. Batsidis, A., & Zografos, K. (2006). Discrimination of observations into one of two elliptic populations based on monotone training samples. Metrika, 64, 221–241. https://doi.org/10.1007/s00184-006-0046-y
2. Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. https://doi.org/10.1111/j.1469-1809.1936.tb02137.x
3. Fisher, R. A. (1938). The statistical utilization of multiple measurements. Annals of Eugenics, 8(4), 376–386. https://doi.org/10.1111/j.1469-1809.1938.tb02189.x
4. Fujikoshi, Y. (2000). Error bounds for asymptotic approximations of the linear discriminant function when the sample sizes and dimensionality are large. Journal of Multivariate Analysis, 73, 1–17. https://doi.org/10.1006/jmva.1999.1862
5. Fujikoshi, Y., & Seo, T. (1998). Asymptotic approximations for EPMC’s of the linear and the quadratic discriminant functions when the sample sizes and the dimension are large. Random Operators and Stochastic Equations, 6(3), 269–280. https://doi.org/10.1515/rose.1998.6.3.269
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