- 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.
Bibliography of reference
- 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.