Statistical and Decision Analysis

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Management and Economics

Synopsis:

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.

Requirements:

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

Syllabus of lectures:

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

Syllabus of tutorials:

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

Study Objective:

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.

Study materials:

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

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• 16 80 85 00 BVES TVA 2012 P základ (compulsory course in the program)
• 14 80 85 00 BVES MAT 2012 P základ (compulsory course in the program)
• 15 80 85 00 BVES OBR 2012 P základ (compulsory course in the program)
• 13 80 85 00 BVES EKO 2012 P základ (compulsory course in the program)
• 18 86 90 00 BVES MAT 2012 K základ (compulsory course in the program)
• 20 86 90 00 BVES TVA 2012 K základ (compulsory course in the program)
• 19 86 90 00 BVES OBR 2012 K základ (compulsory course in the program)
• 17 86 90 00 BVES EKO 2012 K základ (compulsory course in the program)
• 13 80 85 00 DVES 2012 P úvodní studijní plán (compulsory course in the program)
• 13 80 85 00 DVES EKO 2012 P (compulsory course in the program)
• 14 80 85 00 DVES MAT 2012 P (compulsory course in the program)
• 15 80 85 00 DVES OBR 2012 P (compulsory course in the program)
• 16 80 85 00 DVES TVA 2012 P (compulsory course in the program)
• 17 86 90 00 DVES 2012 K úvodní studijní plán (compulsory course in the program)