Bibliografía

Bates, Douglas, Martin Mächler, Ben Bolker, and Steve Walker. 2015. “Fitting Linear Mixed-Effects Models Using Lme4.” Journal of Statistical Software 67 (1): 1–48.
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Carroll, Raymond J, and David Ruppert. 1988. “Transformation and Weighting in Regression.” Monographs on Statistics and Applied Probability.
Coxe, Stefany, Stephen G West, and Leona S Aiken. 2009. “The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives.” Journal of Personality Assessment 91 (2): 121–36.
Draper, NR. 1998. Applied Regression Analysis. McGraw-Hill. Inc.
Fox, John, and Sanford Weisberg. 2018. An r Companion to Applied Regression. Sage publications.
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Harrell, Frank E., Jr. 2015. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. Second. Springer.
Hastie, Trevor, Robert Tibshirani, Jerome H Friedman, and Jerome H Friedman. 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Vol. 2. Springer.
Hosmer Jr, David W, Stanley Lemeshow, and Rodney X Sturdivant. 2013. Applied Logistic Regression. John Wiley & Sons.
Jaccard, James, and Robert Turrisi. 2003. Interaction Effects in Multiple Regression. Sage.
James, Gareth, Daniela Witten, Trevor Hastie, Robert Tibshirani, et al. 2013. An Introduction to Statistical Learning. Vol. 112. Springer.
James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2021. An Introduction to Statistical Learning with Applications in r. Second. Springer.
Kuhn, Max, and Kjell Johnson. 2019. Feature Engineering and Selection: A Practical Approach for Predictive Models. CRC Press.
Kutner, Michael H, Christopher J Nachtsheim, John Neter, and William Li. 2005. Applied Linear Statistical Models. McGraw-hill.
Lambert, Diane. 1992. “Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing.” Technometrics 34 (1): 1–14.
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Pinheiro, José C., and Douglas M. Bates. 2000. Mixed-Effects Models in s and s-PLUS. New York: Springer.
Potdar, Kedar, Taher S Pardawala, and Chinmay D Pai. 2017. “A Comparative Study of Categorical Variable Encoding Techniques for Neural Network Classifiers.” International Journal of Computer Applications 175 (4): 7–9.
Ranstam, Jonas, and Jonathan A Cook. 2018. “LASSO Regression.” Journal of British Surgery 105 (10): 1348–48.
Shmueli, Galit. 2010. “To Explain or to Predict?” Statistical Science 25 (3): 289–310.
Weisberg, S. 2005. “Applied Linear Regression.” Wiley.
Wood, Simon N. 2017. Generalized Additive Models: An Introduction with r. Second. Chapman; Hall/CRC.
Yeo, In-Kwon, and Richard A Johnson. 2000. “A New Family of Power Transformations to Improve Normality or Symmetry.” Biometrika 87 (4): 954–59.
Zheng, Alice, and Amanda Casari. 2018. Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists. O’Reilly Media.
Zou, Hui, and Trevor Hastie. 2005. “Regularization and Variable Selection via the Elastic Net.” Journal of the Royal Statistical Society Series B: Statistical Methodology 67 (2): 301–20.