Stochastic Modeling and Statistical Data Processing
Overview lecture. Simulation of an experiment
Preliminary Data Analysis
Empirical characteristics and theoretical background
Methods of point estimation of theoretical parameters
Distributions close to Normal
Statistical criteria
Regression models. Multivariate Normal distribution
Control tests
16.11 Principal component method.
23.11 Linear Classification
30.11 Application. Chemometry