Programa

Statistics

Licenciatura Bolonha em Applied Mathematics for Economics and Management

Licenciatura Bolonha em Economics

Licenciatura Bolonha em Management

Programa

- Sampling and sampling distributions; - Probability and statistical inference; - Specification. Random sampling; - Statistics; - Sampling distribution of a statistic; - First properties of the moments of the random sample; - Order statistics and their sampling distribution; - Empirical cumulative distribution function; - Some sampling distributions; - Normal populations; - Asymptotic distributions; - Other populations; - Point estimation; - General considerations; - Properties of estimators; - Estimation methods; - Interval estimation; - General considerations; - Method of the pivotal quantity; - Application to normal populations; - Application to other populations; - Hypotheses testing; - General considerations; - Simple hypotheses; - Composite hypotheses; - Significance testing; - Analysis of variance; - The Bayesian approach to statistical inference; - Bayes theorem as an inferential tool; - Bayesian methodology and its implementation; - The a priori distribution; - Point estimation; - Prediction; - Interval estimation; - Hypotheses testing.