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Application of advanced statistical methods (multidimensional observations, pattern recognition methods, regression analysis) to ensure the quality of analytical results and optimization of analytical methods.
Last update: Kania Patrik (01.08.2018)
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Doctoral students will be able to:
Use multidimensional statistical methods Use linear and nonlinear regression Evaluate epidemiological studies Interpret measurement results Last update: Kania Patrik (01.08.2018)
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R: Statistics and Chemometrics for Analytical Chemistry (6th Edition), ISBN-13: 978-0273730422, Pearson, 2010 A: Probability & Statistics for Engineers & Scientists, ISBN 978-0-321-62911-1, Pearson, 2012 Last update: Setnička Vladimír (12.10.2018)
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1. Introduction to multidimensional methods 2. Optimization of one-dimensional measurements 3. Optimizing multi-dimensional measurements 4. ANOVA 5. MANOVA 6. Principal component method 7. Linear Discrimination Analysis 8. Correspondence Analysis 9. Interaction of epidemiological studies 10. Program file XLSTAT 11. UNSCRAMBLER Program File 12. Regression analysis 13. Nonlinear regression 14. Comprehensive project - assignment and interpretation Last update: Kania Patrik (01.08.2018)
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None Last update: Kania Patrik (17.08.2018)
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The course is not suitable for students who have already completed the subject M402018 (N402042) Analytical chemometrics. Last update: Záruba Kamil (10.10.2018)
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