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.


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.


T14 - Sampling distributions

24 Outubro 2025, 14:00 Alexandra Bugalho de Moura

Random sample, sample statistic and sampling distributions.

Sample mean and (corrected and not corrected) sample variance.
Expected value and variance of the sample mean.


T13 - Introduction to statistical inference

21 Outubro 2025, 13:30 Alexandra Bugalho de Moura

Population vs sample. Examples.

Specification. Examples.
Parametric vs non-parametric inference. Examples.
i.i.d. random sample. Examples.
Sample space. Examples.
Statistic. Examples. Sample average and sample variance.
Sampling distribution.