Statistical Modeling

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.

Basic Information

Workload
60 hours
Requirements
Statistical inference

Mandatory: 

  • 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
     

Complementary: 

  • 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.