Календарный план

  • 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