Statisties and Decision Making Analysis (E381118)
 Katedra: ústav řízení a ekonomiky podniku (12138) Zkratka: SRAEN Schválen: 06.04.2022 Platí do: ?? Rozsah: 2P+2C+0L Semestr: Kredity: 5 Zakončení: Z,ZK Jazyk výuky: EN
Anotace
Statistical analysis is a good basis for a creation of decision-making models. The goal of this subject is to teach students to apply the selected statistical method, to apply models of decision analysis, to create models for the management of industrial enterprises.
Osnova
1. Statistical population and description statistics.
2. Statistical population and description statistics.
3. Regression and correlation analysis - linear
4. Regression and correlation analysis - nonlinear
5. Basic probability distributions
6. Basic probability distributions
7. Optimization and theory of decision (creation of models)
8. Linear programming
9. Inventory models
10. Queuing models
11. Models of investment policy and industrial replacement.
12. Structural models
13. Simulation models Monte Carlo
Osnova cvičení
1. Statistical population and description statistics.
2. Regression and correlation analysis - linear
3. Basic probability distributions
4. Linear programming
5. Linear programming
6. Inventory models
7. Queuing models, Simulation models
Literatura
Kožíšek, J., Stieberová, B.: Statistická a rozhodovací analýza, VČVUT, Praha 2014
Kožíšek, J.: Operační a systémová analýza II, ESČVUT, Praha 1991
Kožíšek, J.: Statistická analýza - Příklady, VČVUT, Praha 2002
Picek, K.: Operační a systémová analýza I, VČVUT, Praha 1989
Gros, I.: Kvantitativní metody v manažerském rozhodování, Grada, Praha 2003
Submission of solved problem tasks and its interpretation. Examination of the following topics:
1. Statistical population and description statistics.
2. Statistical population and description statistics.
3. Regression and correlation analysis - linear
4. Regression and correlation analysis - nonlinear
5. Basic probability distributions
6. Basic probability distributions
7. Optimization and theory of decision (creation of models)
8. Linear programming
9. Inventory models
10. Queuing models
11. Models of investment policy and industrial replacement.
12. Structural models
13. Simulation models Monte Carlo
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