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.
Box, George EP, and David R Cox. 1964. “An Analysis of
Transformations.” Journal of the Royal Statistical Society:
Series B (Methodological) 26 (2): 211–43.
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.
Galton, Francis. 1886. “Regression Towards Mediocrity in
Hereditary Stature.” The Journal of the Anthropological
Institute of Great Britain and Ireland 15: 246–63.
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.
Marquardt, Donald W, and Ronald D Snee. 1975. “Ridge Regression in
Practice.” The American Statistician 29 (1): 3–20.
Nelder, John Ashworth, and Robert WM Wedderburn. 1972.
“Generalized Linear Models.” Journal of the Royal
Statistical Society Series A: Statistics in Society 135 (3):
370–84.
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.