Teoria e Métodos de Amostragem

Objetivos

Curricular unit objectives:
To cover basic theoretical and practical aspects of survey sampling
Familiarize participants with sampling terminology and the general objectives of sample surveys
Presenting the classical Statistical sampling methods, conditions and situations where each is
appropriate
Provide practice in applying the sampling methods discussed in class and the calculations of sample
dimensions, desired estimates and their measures of precision
Be able to apply new knowledge in a daily work environment

Caracterização geral

Código

200184

Créditos

7.5

Professor responsável

José António de Almeida Pinheiro

Horas

Semanais - A disponibilizar brevemente

Totais - A disponibilizar brevemente

Idioma de ensino

Português. No caso de existirem alunos de Erasmus, as aulas serão leccionadas em Inglês

Pré-requisitos

Previous knowledge for the subject

Perfect knowledge of general statistics
- descriptive statistics
- inductive statistics;
Perfect conceptual master of specific concepts like
- Random Variable
- Distribution
- Parameters
- Estimator
- Estimate
- Estimators¿ properties
- Confidence intervals
- Hypothesis testing
- Central limit Theorem

Bibliografia

Método de ensino

Classical theoretical and practical classes with many numerical examples.

Método de avaliação

Midterm test 25%

Final exam 60%

Group works 15%

3 The weights are the same for both exams.

Conteúdo

1. General framework, notation and terminology

2. Simple random sampling

3. Stratified random sampling

4. Cluster sampling

5. Two-stage sampling

6. Estimation of a ratio

7. Use of auxiliary information

8. Estimation in domains

Cursos

Cursos onde a unidade curricular é leccionada: