Sumários

T17 - Point estimation

4 Novembro 2025, 13:30 • Alexandra Bugalho de Moura

Maximum likelihood estimation. Examples.

Properties of estimators: bias, relative efficieny, mean squared error and consistency.
Examples. 

T16 - Point estimation

31 Outubro 2025, 14:00 • Alexandra Bugalho de Moura

Point estimation.

Estimator and estimate.
Method of moments.
Method of maximum likelihood.
Examples.

P8

30 Outubro 2025, 15:30 • Ana Patrícia Subtil da Graça Freitas Garcia

Sampling distributions exercises were solved.

P8

30 Outubro 2025, 13:30 • Ana Patrícia Subtil da Graça Freitas Garcia

Sampling distributions exercises were solved.

T15 - Sampling distributions

28 Outubro 2025, 13:30 • Alexandra Bugalho de Moura

Expected value of the sample mean and the sample variance.

Normal population: distribution of the sample average with known and unknown variance, distribution of the sample variance; chi-square and t-student distributions.
Central limit theorem.
Other populations (large samples).
Two normal populations: distribution of the difference of sample averages with known variances, with unknown but equal variances, and with unknown variances (Welch approximation and asymptotic approximation)
Two populations: large samples.