References

Alexander, R. A. and D. M. Govern. 1994. A new and simpler approximation for ANOVA under variance heterogeneity. J. Educ. Stat. 19(2):91-101.

Anderson, T. W. and D. A. Darling, D. A.. 1952. Asymptotic Theory of Certain “Goodness of Fit” Criteria Based on Stochastic Processes. The Annals of Mathematical Statistics. 23:193-212.

Berggren, Mathias. 2024. Coefficients of determination measured on the same scale as the outcome: Alternatives to R² that use standard deviations instead of explained variance. Psychological Methods. April.

Bland, J. Martin and Douglas G. Altman. 2000. The odds ratio. BMJ. 320:1468.

Boriah, Shyam Varun Chandola, and Vipin Kumar. 2008. Similarity Measures for Categorical Data: A Comparative Evaluation. Proceedings of the 2008 SIAM International Conference on Data Mining (SDM). pp.243-254.

Chatterjee, S.. 2020. A new coefficient of correlation. J. Am. Stat. Assoc. 116(536):2009-2022.

D’Agostino, Ralph B. 1971. An omnibus test of normality for moderate and large size samples. Biometrika 58:341-348.

Doane, D. P. 1976. Aesthetic frequency classification. The American Statistician. 30:181-183.

Fawcett, Tom. 2006. An introduction to ROC analysis. Pattern Recognit. Lett. 27:861-874.

Hand, David J., Peter Christen, and Nishadi Kirielle. 2021. F*: an interpretable transformation of the F-measure. Machine Learning. 110:451-456.

Hajian-Tilaki, Karimollah. 2013. Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation. Caspian J. Intern. Med. 4(2):627-635.

Kendall, M. G. 1938. A new measure of rank correlation. Biometrika. 30(1-2):81-89.

Kvålseth, Tarald O. 1985. Cautionary note about R². The American Statistician. 39(4):279-285.

Lee, Daniel D. and H. Sebastian Seung. 1999. Learning the parts of objects by non-negative matrix factorization. Nature. 401:788-791.

Lilliefors, Hubert W. 1967. On the Kolmogorov-Smirnov test for Normality with mean and variance unknown Journal of the American Statistical Association 62:399-402.

MacQueen, J. 1967. Some methods for classification and analysis of multivariate observations. Berkeley Symposium on Mathematical Statistics and Probability. 281-297.

McInnes, Leland, John Healey, and James Melville. 2020. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. arXiv:1802.03426v3. 63pp.

Nahm, F. S. 2022. Receiver operating characteristic curve: overview and practical use for clinicians. Korean J. Anaesthesiology. 75:25-36.

Ranganathan, Priya, Rakesh Aggarwal, and C.S. Pramesh. 2015. Common pitfalls in statistical analysis: odds versus risk. Perspectives in Clinical Research. 6:222-224.

Rosner, B. 1983. Percentage points for a generalized ESD many-outlier procedure. Technometrics 25(2):165-172.

Şen, Zekâi. 2012. Innovative trend analysis methodology. J. Hydrologic Engineering. 17(3):1042-1046.

Spearman, C. 1904. The proof and measurement of association between two things. The Am. J. Psych. 15(1):72-101.

van der Maaten, Laurens and Geoffrey Hinton. 2008. Visualizing high-dimensional data using t-SNE. J. Machine Learning Res. 9:2579-2605.

Wright, Sewall. 1921. Correlation and causation. J. Agric. Res. 20(7):557-585.

Yule, G. Udny. 1900. On the association of attributes in statistics: with illustrations from the material of the Childhood Society, &c. Phil. Trans. Ser. Q. 194:257-319.

Yule, G. Udny. 1912. On the methods of measuring association between two attributes. J. Roy. Statist. Soc. 75:579-642.