Difference between revisions of "Expressing Uncertainty"
| Line 10: | Line 10: | ||
==Sections== | ==Sections== | ||
| − | *[[Choosing an appropriate distribution ]] | + | * [[Uncertainty Setup dialog]] |
| − | *[[Defining a variable as a distribution]] | + | * [[Uncertainty view of a result]] |
| − | *[[Including a distribution in a definition]] | + | * [[Choosing an appropriate distribution ]] |
| − | *[[Probabilistic calculation]] | + | * [[Defining a variable as a distribution]] |
| − | *[[Uncertainty | + | * [[Including a distribution in a definition]] |
| + | * [[Probabilistic calculation]] | ||
| + | * [[Optimizing with Uncertainty]] | ||
==See Also== | ==See Also== | ||
<footer>Other Functions / {{PAGENAME}} / Probability Distributions</footer> | <footer>Other Functions / {{PAGENAME}} / Probability Distributions</footer> | ||
Revision as of 01:10, 1 March 2016
Analytica makes it easy to model and analyze uncertainties even if you have minimal background in probability and statistics. The graphs below review several key concepts from probability and statistics to help you understand the probabilistic modeling facilities in Analytica. This chapter assumes that you have encountered most of these concepts before, but possibly in the distant past. If you need more information, see Glossary or refer to an introductory text on probability and statistics.
Sections
- Uncertainty Setup dialog
- Uncertainty view of a result
- Choosing an appropriate distribution
- Defining a variable as a distribution
- Including a distribution in a definition
- Probabilistic calculation
- Optimizing with Uncertainty
See Also
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