Difference between revisions of "Expressing Uncertainty"
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<breadcrumbs> Analytica User Guide > {{PAGENAME}}</breadcrumbs><br /> | <breadcrumbs> Analytica User Guide > {{PAGENAME}}</breadcrumbs><br /> | ||
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Analytica makes it easy to model and analyze uncertainties even if you have minimal background | 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. | 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. | ||
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==Sections== | ==Sections== | ||
| − | *[[Choosing an appropriate distribution ]] | + | {| |
| − | *[[Defining a variable as a distribution]] | + | | bgcolor=white width=400px valign=top| |
| − | *[[Including a distribution in a definition]] | + | * [[Uncertainty Setup dialog]] |
| − | *[[Probabilistic calculation]] | + | * [[Uncertainty views]] |
| − | *[[ | + | * [[Selecting the Sample Size]] |
| + | * [[Choosing an appropriate distribution ]] | ||
| + | * [[Defining a variable as a distribution]] | ||
| + | * [[Including a distribution in a definition]] | ||
| + | * [[Probabilistic calculation]] | ||
| + | * [[Monte Carlo and probabilistic simulation]] | ||
| + | |[[File:Uncertain_quantity_X.png]] | ||
| + | |} | ||
==See Also== | ==See Also== | ||
| − | <footer> | + | * [[Statistics, Sensitivity, and Uncertainty Analysis]] |
| + | * [[Uncertainty in regression results]] | ||
| + | * [[Dynamic and uncertainty]] | ||
| + | * [[Optimizing with Uncertainty]] | ||
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| + | |||
| + | <footer>Array functions / {{PAGENAME}} / Probability Distributions</footer> | ||
Latest revision as of 00:52, 3 June 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
|
See Also
- Statistics, Sensitivity, and Uncertainty Analysis
- Uncertainty in regression results
- Dynamic and uncertainty
- Optimizing with Uncertainty
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