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Quantitative Methods
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| Přípona .docx |
Typ vypracované otázky |
Stažené 0 x |
| Velikost 0,6 MB |
Jazyk anglický |
ID projektu 3652 |
| Poslední úprava 16.06.2014 |
Zobrazeno 657 x |
Autor: eliseus |
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| Detaily projektu | ||
- Cena:
3 Kreditů - kvalita:
79,2% -
Stáhni
- Přidej na srovnání
- Univerzita:Česká zemědělská univerzita v Praze
- Fakulta:Provozně ekonomická fakulta
- Kategorie:Ekonomika » Ekonomie
- Předmět:Ekonomie
- Studijní obor:-
- Ročník:-
- Formát:MS Office Word (.docx)
- Rozsah A4:74 stran
Probability distributions provide a more quantitative insight into an asset’s risk. The probability of a given outcome is its chance of occurring. An outcome with an 80 percent probability of occurrence would be expected to occur 8 out of 10 times. An outcome with a probability of 100 percent is certain to occur. Outcomes with a probability of zero will never occur.
Briefly:
Probability - The chance that a given outcome will occur.
Probability Distribution - A model that relates probabilities to the associated outcomes
The simplest type of probability distribution is the bar chart, which shows only a limited number of outcomes and associated probabilities for a given event.
If we knew all the possible outcomes and associated probabilities, we could develop a continuous probability distribution. This type of distribution can be thought of as a bar chart for a very large number of outcomes.
Continuous probability distribution - a probability distribution showing all the possible outcomes and associated probabilities for a given event.
Briefly:
Probability - The chance that a given outcome will occur.
Probability Distribution - A model that relates probabilities to the associated outcomes
The simplest type of probability distribution is the bar chart, which shows only a limited number of outcomes and associated probabilities for a given event.
If we knew all the possible outcomes and associated probabilities, we could develop a continuous probability distribution. This type of distribution can be thought of as a bar chart for a very large number of outcomes.
Continuous probability distribution - a probability distribution showing all the possible outcomes and associated probabilities for a given event.
Klíčová slova:
probability
risk
economics
bar chart
laws
Obsah:
- 1. Basic Notions of Probability. Distributions models 3
2. Statistical hypothesis testing. Models. 7
3. Simple linear regression and correlation 11
3 Lineární regrese 16
4. Multiple regression. Matrix computation approach. 19
5. Time series description and forecasting. Trend analysis. 23
6. Information Science. Basic concepts. Data standardization. 25
7. Computer networks (basic concepts, classifactoion, topology, access methods) 27
8. Computer networks 31
9. Laws and information science, network security, computer viruses. 35
10. Database systems (terinology, data types, data and function modeling) 39
11. Database systems (database building, editing, browsing, selecting, queries, forms, reports) 43
12. VBA 45
13. HTML - Hyper Text Markup Language 49
14. Basic of dynamics HTML - CSS 53
15. Central position of information technology in economy 57
16. Theory of information. Definition and classification of information system 59
17. Analyze and design of Information System 61
18. Critical factors of building of infomation systems. 65
19. Economics of Information Systems 67
20. Enterprise resource planning systems 69