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Experimental data evaluation - NJSF141

Title:	Zpracování experimentálních dat
Guaranteed by:	Institute of Particle and Nuclear Physics (32-UCJF)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2022
Semester:	summer
E-Credits:	3
Hours per week, examination:	summer s.:2/0, Ex [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	not taught
Language:	Czech, English
Teaching methods:	full-time

Guarantor:	doc. RNDr. Dalibor Nosek, Dr.

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Annotation -

An introductory statistics course covering the basic of statistic thinking, fundamental principals of statistical methods, tests of hyphothesis and practical examples of experimental data analysis.

Last update: T_UCJF (19.04.2013)

Course completion requirements - Czech

Ústní zkouška

Last update: Nosek Dalibor, doc. RNDr., Dr. (10.06.2019)

Literature -

J.Anděl, Základy matematické statistiky, Matfyzpress, 2011

J.Anděl, Statistické metody, Matfyzpress, 2007

R.C.Rao, Lineární metody statistické indukce a jejich aplikace, Academia,1978 (překlad Linear Statistical Inference and Its Applications, John Willey & Sons, 1973)

Last update: T_UCJF (19.04.2013)

Requirements to the exam - Czech

Ústní zkouška a kontrola doma vypracovaných příkladů.

Last update: Nosek Dalibor, doc. RNDr., Dr. (12.10.2017)

Syllabus -

Random phenomena, probability, conditional prabability, independent random phenomena.

Random variables, their distributions and characteristics. Random vectors.

Law of large numbers. Central limit theorem.

Random sample, ordered sample, descriptive statistics.

Point estimates and confidence intervals. Consistent estimates. Best unbiased estimates. Maximum likelihood method. Bayes estimates.

Hypothesis tests, errors of the first and second kind, confidence level. Testing hypothesis about parameters of normal distributions. Tests of good agreement. Non-parametric tests. Sequential tests.

Linear regression. Correlation. Submodel tests.

Last update: T_UCJF (19.04.2013)