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Terminated in academic year 2018/2019

Statistical Processing of Experimental Data

Type of study Doctoral
Language of instruction Czech
Code 639-0930/02
Abbreviation SZED
Course title Statistical Processing of Experimental Data
Credits 10
Coordinating department Department of Quality Management
Course coordinator prof. RNDr. Josef Tošenovský, CSc.

Subject syllabus

1. Random Sampling
2. Data Description - Mean, Variance, Standard Deviation, Median, Others
3. Point Estimation of Parameters
4. Statistical Intervals fot a Single Sample
5. Tests of Hypotheses for a Single Sample
6. Simple Linear Regression and Correlation
7. Multiple Linear Regression
8. Test of Independence in Contingency Tables
9. Multivariate Statistical Analysis
10. Graphical Methods for Data Analysis

Literature

KUTNER, M. H.,CH. J. NACHTSHEIM and J. NETER. Applied Linear Regression Models. NY:McGraw-Hill, 2004. ISBN 0-07-301344-7 .
BOX,G. E. P.,HUNTER,W.G.andHUNTER,J.S. Statistics for Experimenters.
NY: Wiley&Sons, 1978. ISBN 0-471-09315-7 .
JAMES, G., D. WITTEN, T. HASTIE a R. TIBSHIRANI. An Introductuion to Statistical Learning. NY: Springer, 2013. ISBN 978-1-4614-7138-7 .
DRAPER, N. R. and H. SMITH. Applied Regression Analysis. NY: Wiley, 1998. ISBN 978-0471170822 .
RYAN, T. P. Modern Regression Methods. NY: Wiley, 2008. ISBN 978-0470550441 .

Advised literature

MONTGOMERY, D. C. Applied Statistics and Probability for Engineers. NY: Wiley, 2010. ISBN-13 978-1-1185-3971-2 .
SHESKIN, D. J. Handbook of Parametric and Nonparametric Statistical Procedures. NY: Chapman and Hall, 2003. ISBN 1-58488-440-1 .


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