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Statistical Processing of Experimental Data

Statistical Processing of Experimental Data
639-0940/01
čeština Statistical Processing of Experimental Data
639-0940/02
angličtina

Anotace

The subject follows up on probability theory. It uses the tools of probability to present estimation of population parameters, hypothesis testing, modelling of technological processes with regression models and their assessment by correlation analysis. Multivariate regression is taught under the required theoretical conditions. Correlation analysis shows ways of measuring dependence for various types of variables.

Povinná literatura

JAMES, G., D. WITTEN, T. HASTIE a R. TIBSHIRANI. An Introduction to Statistical Learning. NY: Springer, 2013. ISBN 978-1-4614-7138-7 .
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 .
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 .


zpět na vyhledávání
Language of instruction čeština, angličtina
Code 639-0940
Abbreviation SZED
Course title Statistical Processing of Experimental Data
Coordinating department Department of Quality Management
Course coordinator Ing. Filip Tošenovský, Ph.D.