.--12.Logistic Regression.--13.Discrete Outcome Models.--14.Ordered Probability Models.--15.Discrete

MODÈLES STOCHASTIQUES + SIMULATION STOCHASTIQUE (CALCUL DES PROBABILITÉS)

Probability? -- Probability as a Proportion -- Equally Likely Model -- Mutually Exclusive Outcomes -- Addition

parameters --Cosmic parameters -- The cosmological constant -- Monkeygod -- Probability -- Quantum and

.Concavity and convexity -- A.3.Kuhn-Tucker optimisation -- A.4.Probability and lotteries -- B.A primer on

.Continuous Probability Distributions -- 2.3.1.Probability Distribution Function, Probability Density Function

. Probability -- 6. Data collection and sampling -- 7. Random variables and discrete probability distributions

area -- Probability.

Variables and research design -- Introduction to SPSS -- Descriptive statistics -- Probability

. Basic probability -- 5. Discrete probability distributions -- 6. The normal distribution and other

Probability.

: Summarising and analysing data; Part C: Probability; Part D: Financial mathematics; Part E: Inter