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Mathematical Statistics 1 - NMSA331

Title:	Matematická statistika 1
Guaranteed by:	Department of Probability and Mathematical Statistics (32-KPMS)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2013 to 2014
Semester:	winter
E-Credits:	8
Hours per week, examination:	winter s.:4/2, C+Ex [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	Czech
Teaching methods:	full-time

Guarantor:	prof. RNDr. Jiří Anděl, DrSc.
Teacher(s):	prof. RNDr. Jiří Anděl, DrSc. doc. RNDr. Daniel Hlubinka, Ph.D. doc. Ing. Marek Omelka, Ph.D.
Class:	M Bc. OM M Bc. OM > Povinně volitelné M Bc. OM > Zaměření STOCH
Classification:	Mathematics > Probability and Statistics
Incompatibility :	NSTP201
Pre-requisite :	NMSA202
Interchangeability :	NSTP201
Is co-requisite for:	NMSA332
Is interchangeable with:	NSTP201, NSTP191
In complex pre-requisite:	NMSA349

Annotation -

Foundations of statistical methods. Recommended for bachelor's program in General Mathematics, specialization Stochastics.

Last update: G_M (16.05.2012)

Aim of the course -

The students will become familiar with basic methods for statistical data analysis.

Last update: G_M (16.05.2012)

Literature - Czech

Anděl J.: Matematická statistika, SNTL/ALFA, Praha 1978

Anděl J.: Statistické metody. Matfyzpress, Praha 2007

Anděl, J.: Základy matematické statistiky. Matfyzpress, Praha 2013

Last update: Anděl Jiří, prof. RNDr., DrSc. (09.09.2013)

Teaching methods -

Lecture+exercises.

Last update: T_KPMS (11.05.2012)

Syllabus -

Random sample and ordered random sample.

Point estimators and interval estimators of the parameters.

Tests of statistical hypotheses.

One-sample problem, two-sample problem and k-sample problems.

Regression models.

Last update: Kulich Michal, doc. Mgr., Ph.D. (01.09.2015)