Календарный план

  • Stochastic Modeling and Statistical Data Processing

  • 7.09 Overview lecture. Simulation of an experiment

  • 14.09 Preliminary Data Analysis

  • 21.09 Empirical characteristics and theoretical background

  • 28.09 Methods of point estimation of theoretical parameters

  • 5.10 Distributions close to Normal

  • 12.10 Statistical criteria

  • 19.10 Statistical criteria

  • 2.11 Regression models. Multivariate Normal distribution

  • 9.11 Intermediate tests

  • 16.11 Principal component method.

  • 23.11 Linear Classification

  • 30.11 Application. Chemometry