statistics 2
continuous random variable, stochastic convergence, Gaussian distribution, point estimation, confidence intervals, statistical tests, simple linear regression.
Continuous random variable. Convergence in distribution, convergence in probability, Gaussian approximation. Parameter estimation : point estimation, interval estimation. Estimation of un unknowm proportion. Statistical tests : one proportion, two proportions, Pearson's chi squared test of goodness of fit. Simple linear regression applied to time series.
Bachelor 2nd year
Economics and Management
Calculate continuous distributions characteristics. Evaluate a probability using Gaussian approximation. Build a parameter estimator using the method of moments, and the maximum likelihood method.
Build a one-sample proportion test, a two-sample proportion comparison test, a Pearson's Chi squared goodness of fit test.
Evaluate linear regression model for time series.
Patrick Beau - Prag - Hourly volume: 33H cours +15h TD
Campus-based teaching
Not specified