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Experimental Design and Sequential Analysis - NSTP179

Title:	Navrhování experimentů a sekvenční analýza
Guaranteed by:	Department of Probability and Mathematical Statistics (32-KPMS)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2018
Semester:	summer
E-Credits:	6
Hours per week, examination:	summer s.:2/2, C+Ex [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	cancelled
Language:	Czech
Teaching methods:	full-time
Teaching methods:	full-time

Guarantor:	prof. RNDr. Marie Hušková, DrSc. doc. RNDr. Zdeněk Hlávka, Ph.D. doc. RNDr. Arnošt Komárek, Ph.D.
Classification:	Mathematics > Probability and Statistics
Interchangeability :	NMST436

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Annotation -

Last update: T_KPMS (19.05.2006)

Some particular models of ANOVA (latin squares, random blocks,) mixed models, models with random effects, factorial experiments, optimal regression experiments (D,G-optimality). Sequential experiments and their statistical analysis.

Aim of the course -

Last update: T_KPMS (22.05.2008)

Basic principles of design of experiments and statistical inference

when data arrive sequentially

Literature - Czech

Last update: T_KPMS (19.05.2006)

Hušková M. Dupačová, J.: Analýza rozptylu, skripta, 1978

Likeš, J. :Navrhování průmyslových experimentů, SNTL 1969

Pázman, A.: Základy optimalizácie experimentu, Veda 1980

Hušková, M.: Sekvenční analýza, SPN Praha 1982, skripta.

Teaching methods -

Last update: G_M (27.05.2008)

Lecture+exercises.

Syllabus -

Last update: T_KPMS (19.05.2006)

I. Experimantal design

Some particular models of ANOVA.

Mixed models, models with random effects.

Factorial experiments.

Optimal regression experiments (D,G-optimality).

II. Sequential analysis

Basic principles of sequential statistical methods- Wald tests and its modifications, sequential interval and point estimation, applications.