• Study level

    BAC +2

  • ECTS

    2 credits

  • Component

    Faculty of Science

Description

This course continues the training of students in applied mathematics, in particular the use of statistical tools:

# Notions of populations and random samples.

# Estimators.

#Erreur mean square and bias-variance decomposition.

# Empirical estimators of mean and variance. Construction of estimators by the method of moments. Maximum plausibility.
Interval estimation.

# Hypothesis tests: null hypothesis, alternative hypothesis. Errors of the first and second kinds. Power of a test. Test Statistic, Rejection Region. Examples of classic tests.

 

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Necessary prerequisites

Teaching mathematics in the first and second years of CPES

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Knowledge control

Continuous assessment and final exam 

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