Course unit code:

427M1_4D

Course unit title:

Mathematical Statistics

Mode of delivery, planned learning activities and teaching methods:

lecture – 5 hours weekly (on-site method)

Credits allocated:

6

Recommended semester:

Anorganické technológie a materiály – (full-time, attendance method), 0. semester

Level of study:

3.

Prerequisites for registration:

none

Assesment methods:

Students should work out their homework and to obtain at least 56% from the test.

Learning outcomes of the course unit:

Get acquainted students with the fundamentals of statistical methods, teach them to handle univariate and multivariate datasets with the assistance of statistical software.

Course contents:

1.	Models of data files - homogeneity (allowance 6/0)
	a. Models of simple data files -- Analysis of variance b. Models of multiple data files -- Multi analysis of variance c. Discriminant analysis
2.	Predictions in regression models (allowance 6/0)
	a. Parametric regression models b. Nonparametric regression models c. Regression models with conditions

Recommended or required reading:

Basic:

• VARGA, Š. Matematická štatistika. Bratsilava : Nakladateľstvo STU, 2012. 219 s. ISBN 978-80-227-3789-0.
• VOLAUF, P. Matematická štatistika: Zbierka príkladov. Bratislava : STU v Bratislave, 2001. 166 s. ISBN 80-227-1523-9.
• MONTGOMERY, D C. – RUNGER, G C. Applied Statistics and Probability for Engineers. New York : John Wiley & Sons, 2002. 706 s. ISBN 0-471-20454-4.

Recommended:

• VARGA, Š. – ŠABO, M. – POSPÍCHAL, J. Matematika III: Matematická štatistika a numerické metódy. Bratislava : STU v Bratislave FCHPT, 2003. 202 s. ISBN 80-227-1840-8.
• ROUSSAS, G G. A course in mathematical statistics. San Diego : Academic Press, 1997. 572 s. ISBN 0-12-599315-3.

Language of instruction:

Slovak, English

Assessed students in total:

38

A 100 %

B 0 %

C 0 %

D 0 %

E 0 %

FX 0 %

Name of lecturer(s):

Z. Takáč (2021/2022 – Winter)
N. Krivoňáková (2019/2020 – Winter)

Course supervisor:

doc. RNDr. Zdenko Takáč, PhD.

Last modification:

5. 10. 2019

AIS: 2019/2020   2000/2001   2000/2001   2000/2001