Syllabus
The lecture deals with basic chemometric terms, principles and approaches. It covers the methodology of chemical analyses and errors in both classical analytical methods and modern instrumental methods. It is divided in several chapters covering comments on calculation methods and practices, errors in classical analysis - statistics of repeated measurements, distribution and propagation of errors, presentation of results.
It deals with significance tests, including one-tailed and two-tailed tests, ANOVA calculations, testing for normality of distribution, quality control ad sampling. Regression and correlation in instrumental analysis is discussed, curve fitting, the use of non-parametric and robust methods is also discussed.
Finally, experimental design and optimization and pattern recognition are discussed. The lecture includes also practical solving of problems using statistical software ADSTAT.
Annotation
Analytical problems and errors. Probability theory.
Errors in classical analysis. Propagation of errors.
Basic data distributions. Significance one- and two-tailed testing.
Hypothesis testing. Errors in instrumental methods.
Least squares regression and correlation. Calibration and fitting methods.
Non-parametric testing. Quality control.
Sampling. Experimental design.
Multivariate statistical problems. The lecture is taught in English for Erasmus students.