Students should be able to solve problems in SPSS and be able to understand all the basic concepts of statistics. On the other hand, should be able to estimate econometric models and to proceed to their statistical inference. To this must understand the theory behind the various techniques for estimating and validating the results also being able to use a statistical software, STATA, which allows practical implementation. Classes will be taught in computer lab.
Finally, it is intended to provide students with basic tools for modeling in the environmental area, as well as basic tools for the development of optimization models in the fields of nature conservation and environmental.
The program consists of three components: a review of basic statistical concepts, use of STATA in Linear Regression Models and Simulation Environment. In the first case will cover topics such as What is the statistic? Need for statistical review; How to quantify variability, Review of some statistical terms and concepts; statistical tests (parametric and nonparametric) and use the SPSS application. Thereafter it is intended that students understand The Simple Linear Regression Model: Estimation and Statistical Inference; Autocorrelation and Heteroscedasticity; Time Series; Instrumental Variables and Least Squares Two Steps and Limited Dependent Variable Models. D models population ecology and spatial models of cellular automata and fractals; Finally notions about modeling will be introduced. An introduction to linear programming and operational research will be made.
Followed exposure of theoretical concepts with examples and exercises. Computational solving simple problems using the Excel application.
Maroco J., 2007. Análise Estatística com Utilização do SPSS (3º Edição). Edições Sílabo, Lda. Lisboa. ISBN 978-972-618-452-2.
Zar, J.H., 1996. Biostatistical Analysis. Prentice-Hall, London.ISBN 0-13-084542-6
A review of models of alien plant spread – Higgens & Richardson, 1996, Ecological Modelling, 87, 249
A cellular automaton for freeway traffic – Nagel & Schrekenberg, 1992, J. Phys. I France 2 2221-2229;
Deterministic non-periodic flow, Lorenz, 1962, Journal of the Atmospheric Sciences, 20, 130-141
Programação linear – Guerreiro, Magalhães & Ramalhete, McGraw-Hill
Heuristic and optimal solutions for set-covering problems in conservation biology, Moore et al, 2003, Ecography, 595-601
Gujarati, D. (2003), Basic Econometrics, McGraw-Hill 4ª Edição.
Oliveira, M., A. Aguiar, A. Carvalho, F. Martins, V. Mendes e P. Portugal (1997), Econometria-Exercícios, McGraw-Hill
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