Central Limit Theorem. Introduction to Sampling.

27 Novembro 2013, 15:30 • Graça Leão Fernandes

Central limit Theorem - interpretation.

Aplication of the Central limit Theorem to discrete distribution -The De Moivre Laplace Theorem . Correction of continuity.

Statistical Inference uncertainty and accuracy.

Population and sample. Sample Space.

Model specification.

Parametric inference.

Definition of a statistic. 

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Exponential, Gamma and Chi-square distributions

20 Novembro 2013, 15:30 • Graça Leão Fernandes

Probability density and distributions function.

Moment generating function.

Mean and variance and their interpretation.

Aditivity theorems.

Relationship among the three distributions and with the Poisson process.

Rule to transform a Gamma into a Chi-square distribution.

Using tables to compute probabilities.

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Distribution of some continuous random variables

18 Novembro 2013, 16:00 • Graça Leão Fernandes

Uniform distribution:

  - probability density and distribution functions;

  - moment generating functions;

  - Mean and variance;

  - integral uniform transformation

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Poisson Distribution

13 Novembro 2013, 15:30 • Graça Leão Fernandes

Assumptions of a Poisson process.

Definition of a variable with a Poisson distribution and interpretation of its parameter.

Probability and distribution function.

Computation of probabilities.

Aditivity theorem.

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Distribuição de Poison

11 Novembro 2013, 16:00 • Graça Leão Fernandes

A aula não foi dada por falta de comparência dos alunos.

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