- Introduction: Review of Probability and Statistics Concepts
- Functions of Random Variables
- Confidence Intervals and Hypothesis Testing
- Analysis of Variance and Design of Experiments
- Monte Carlo Simulation
- Estimation methods (Method of Moments, Maximum Likelihood, Bayesian Methods)
- Regression Analysis
- Other applications: Order Statistics and Probability of Extremes, Reliability and Risk
- Multiple regression – model estimation (least squares, maximum likelihood) and testing.
- Analysis of variance (ANOVA).
- Spatial Autocorrelation analysis
- Spatial regression (point and areal data).
- Structural equations modeling.
- Panel data
- Applications to spatial planning.

- Acetatos utilizados nas aulas / Handouts from lectures
- Guimarães Rui C & Cabral J. S (2010) Estatística, Mc-Graw-Hill de Portugal, 2ª ed.
- Reis E., Melo P., Andrade R. e Calapez, T. (2007) Estatística Aplicada, Edições Silabo.
- Montgomery, D. (1998) Applied Statistics and Probability for Engineers, , Wiley, 2nd ed.
- Hayter, A. (2001), Probability and Statistics for Engineers and Scientists, Duxbury Press, 2nd ed.
- Box, Hunter & Hunter (2005) Statistics for Experimenters, 2 ed.
- Walpole, Myers and Myers (2011) Probability and Statistics for Engineers and Scientists, Prentice Hall, 9th ed.
- Anselin, L. (1998) Spatial Eonometrics: Methods and Models. Kluwer Acad. Publishers.
- Arbia, G. (2006) Spatial Econometrics - Statistical Foundations and Applications to Regional Convergence.
- Fischer,M., Hewings,G., Nijkamp,P., Snickars,F., Nagurney,A. (2004) Advances in Spatial Science, Springer-Verlag.
- Bailey, T. & Gatrell, A., Longman (1995) Interactive spatial data analysis.