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The subject represents an introductory course of the mentioned topic for Ph.D. students. The following chapters are discussed: Principles and advances of probability theory, various types of distributions and their parameters, point and interval estimates, linear and nonlinear regression, hypothesis testing. All the theory is supplemented with examples of experimental data processing. Doctoral students' own data (suitable for statistical processing) are welcome to practice.
Last update: Matějka Pavel (31.08.2019)
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Students will be able to:
Last update: Matějka Pavel (31.08.2019)
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R: Statistical Methods in Analytical Chemistry, Second Edition, PETER C. MEIER, RICHARD E. ZUND, 2000 by John Wiley & Sons, Inc., ISBN 0-47 1-29363-6, Online ISBN:9780471728412 |DOI:10.1002/0471728411 R: Chemometrics: Data Driven Extraction for Science, Second Edition. Richard G. Brereton, 2018 by John Wiley & Sons Ltd., ISBN:9781118904664 |Online ISBN:9781118904695 |DOI:10.1002/9781118904695 A: Chemometrics: Statistics and Computer Application in Analytical Chemistry, Third Edition, Author: Matthias Otto, 2017 Wiley‐VCH Verlag GmbH & Co. KGaA Print ISBN:9783527340972 |Online ISBN:9783527699377 |DOI:10.1002/9783527699377 A: Published review papers and original studies. Last update: Matějka Pavel (31.08.2019)
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1) Experimental data and their compatibility, preparation of data input for statistical treatment 2) Variability of experimental data, sources of errors and uncertainties and their propagation 3) Exploratory analysis of vector data — principles 4) Exploratory analysis of vector data — applications and tasks 5) Statistical analysis of vector data — principles 6) Statistical analysis vector data — applications and tasks 7) Statistical analysis of multidimensional data — principles 8) Statistical analysis of multidimensional data — applications and tasks 9) Analysis of variance — principles 10) Analysis of variance — applications and tasks 11) Regression methods — linear and nonlinear — principles 12) Regression methods — linear and nonlinear — applications and tasks 13) Correlation — principles and tasks 14) Interpolation and approximation — principles and tasks Last update: Matějka Pavel (31.08.2019)
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electronic materials and files available on-line in the domain vscht.cz Last update: Matějka Pavel (31.08.2018)
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