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Learning outcomes |
•To provide the student the basic knowledge in probability theory, random variables and the most relevant theoretical distributions.
•To familiarise the student with the most important concepts and methods in statistical inference, allowing him to apply these concepts to real situations.
After approval at this UC, the Student should be able to:
O1. Formalise correctly problems involving the result of randomised trials.
O2. Identify the probabilistic models, their properties and relation with other models.
O3. Demonstrate knowledge in the field of the statistical inference, with emphasis on parametric inference.
O4. Demonstrate strong predisposition for individual and group learning.
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Main Bibliography |
Main:
-- Guimarães, R. C. e Sarsfield Cabral, J. A. (2010). Estatística - 2ª edição. Editora McGraw-Hill.
-- Murteira, B., Ribeiro, C., Silva, J. e Pimenta, C. (2015). Introdução à Estatística - 3ª edição. Escolar Editora, Lisboa.
-- Gonçalves, E., Nogueira, E. e Rosa, A. C. (2016), Probabilidades e Estatística para Ciências e Tecnologia. Edições Almedina, Coimbra
-- Paulino, C. e Branco, J. (2006), Exercícios de Probabilidades e Estatística, Escolar Editora.
Complementary:
-- Ross, S. (2020). Probability and Statistics for Engineers and Scientists. Academic Press.
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