Mathematical Statistics I

Catalog description

Sample spaces, axioms and elementary theorems of conditional probability, Bayes’ theorem, probability distributions and their properties. Mathematical expectations. Mean and variance, moment-generating functions, transformation of random variables. Chebyshev’s inequality, the law of large numbers, the Central Limit Theorem. Regression and correlation.