Referencias

Anderson, D. R., Sweeney, D. J., & Williams, T. A. (2008). Estadística para administración y economía (10a ed). Cengage Learning.

Brachman, R. J., & Levesque, H. J. (2004). Knowledge representation and reasoning. Morgan Kaufmann.

Devore, J. L. (2008). Probability and statistics for engineering and the sciences (7th ed). Thomson/Brooks/Cole.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2013). Multivariate data analysis. Pearson Education.

Healy, K. (2019). Data Visualization: A Practical Introduction. Princeton University Press.

Hintze, J. L., & Nelson, R. D. (1998). Violin Plots: A Box Plot-Density Trace Synergism. The American Statistician, 52(2), 181–184.

Publisher: Taylor & Francis

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An Introduction to Statistical Learning: With Applications in R. Springer.

Johnson, R. A., Kotz, S., & Balakrishnan, N. (1994). Sample Size Determination for Central Limit Theorem Applications (Vol. 1). Wiley-Interscience.

Larsen, R. J., & Marx, M. L. (2017). An Introduction to Mathematical Statistics and Its Applications (6th ed.). Pearson.

Rowlingson, B. (2016). Data Analysis with R. Springer.

Sturges, H. A. (1926). The choice of a class interval. Journal of the American Statistical Association, 21(153), 65–66.

Publisher: New York

Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley.