1. Basic concepts of probability theory.
2. Basic concepts of mathematical statistics, mathematical statistics in geology.
3. Basic properties and modeling of geological bodies. Introduction to geostatistics. Development and practical significance. Application of geostatistics in geology, mining industry and other fields.
4. Random function. Spatial variable quantity.
5. Characteristics of a random function.
6. Stationarity of a random function and the intrinsic hypothesis.
7. Empirical (experimental) and theoretical variogram. Types of theoretical variograms.
8. Interpretation and progress of the experimental variogram. Drift. Structural analysis – definition and tasks.
9. Linear geostatistical kriging procedures – principle, type of input data distribution, point and block estimation.
10. Basic and universal kriging.
11. Other types of kriging. Cross validation method.
12. General procedure and examples of kriging application. Global estimates. Limitation of kriging.
13. Principles of stochastic simulation procedures.
2. Basic concepts of mathematical statistics, mathematical statistics in geology.
3. Basic properties and modeling of geological bodies. Introduction to geostatistics. Development and practical significance. Application of geostatistics in geology, mining industry and other fields.
4. Random function. Spatial variable quantity.
5. Characteristics of a random function.
6. Stationarity of a random function and the intrinsic hypothesis.
7. Empirical (experimental) and theoretical variogram. Types of theoretical variograms.
8. Interpretation and progress of the experimental variogram. Drift. Structural analysis – definition and tasks.
9. Linear geostatistical kriging procedures – principle, type of input data distribution, point and block estimation.
10. Basic and universal kriging.
11. Other types of kriging. Cross validation method.
12. General procedure and examples of kriging application. Global estimates. Limitation of kriging.
13. Principles of stochastic simulation procedures.