Statistical Modeling

Basic information


60 hours


Statistical inference


Simple linear regression, Fit analysis, Residual study, Multiple regression, Bayesian regression, Violations of basic hypotheses, Model selection, Multicollinearity, Variable transformations, Nonlinear regression, Generalized linear models.


Teaching Plan



•    Reinaldo Charnet, Clarice Azevedo de Luna Freire, Eugênia M. Reginato Charnet and Heloísa Bonvino. Analysis of Linear Regression Models with applications, 2011, 2nd Edition. Unicamp Publisher.
•    Annette J. Dobson, An Introduction to Generalized Linear Model, 1990, Chapman & Hall.
•    Morris DeGroot, Mark Schervish. Probability and Statistics. Fourth Edition, 2012


•    Casella, G., Berger, R., Statistical Inference, 2010, Cengage Learning
•    Montgomery, D.C. & Peck, E.A., Introduction to Linear Regression, 1982, John Wiley & Sons
•    Draper, N.R. & Smith, H., Applied Regression Analysis - Third Edition, 1998, John Wiley & Sons
•    Wasserman, Larry. All of statistics: a concise course in statistical inference. Springer Science & Business Media, 2013.
•    Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. The elements of statistical learning. Vol. 1. New York: Springer series in statistics, 2001.