Difference between revisions of "Example Models and Libraries - Table"

Line 1: Line 1:
 
+
  
 
__NOINDEX__
 
__NOINDEX__
Line 10: Line 10:
 
! scope="col" style="min-width: 100px; max-width: 120px;" |Download  
 
! scope="col" style="min-width: 100px; max-width: 120px;" |Download  
 
! Domain  
 
! Domain  
 +
! Methods
 
! style="min-width: 300px;" |  Description
 
! style="min-width: 300px;" |  Description
! Methods
 
 
! For more
 
! For more
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Marginal abatement home heating.ana|Marginal abatement home heating.ana]]
+
|[[Media:Marginal abatement home heating.ana|Marginal abatement home heating.ana]]
 
|carbon price, energy efficiency, climate policy
 
|carbon price, energy efficiency, climate policy
 +
|graph methods, optimal allocation, budget constraint
 
|<div style="text-align: left;">Shows how to set up a Marginal Abatement graph in Analytica.</div>
 
|<div style="text-align: left;">Shows how to set up a Marginal Abatement graph in Analytica.</div>
|graph methods, optimal allocation, budget constraint
 
 
|[[Marginal Abatement Graph]]
 
|[[Marginal Abatement Graph]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Solar Panel Analysis.ana|Solar Panel Analysis.ana]]
+
|[[Media:Solar Panel Analysis.ana|Solar Panel Analysis.ana]]
 
|renewable energy, photovoltaics, tax credits
 
|renewable energy, photovoltaics, tax credits
 +
|net present value, internal rate of return, agile modeling
 
|<div style="text-align: left;">Explores whether it would it be cost effective to install solar panels on the roof of a house in San Jose, California.</div>
 
|<div style="text-align: left;">Explores whether it would it be cost effective to install solar panels on the roof of a house in San Jose, California.</div>
|net present value, internal rate of return, agile modeling
 
 
|[[Solar Panel Analysis]]
 
|[[Solar Panel Analysis]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[Media:Items_within_budget.ana|Items within budget.ana]]
+
|[[Media:Items within budget.ana|Items within budget.ana]]
 +
|
 
|
 
|
 
|<div style="text-align: left;">Given a set of items, with a priority and a cost for each, selects out the highest priority items that fit within the fixed budget. </div>
 
|<div style="text-align: left;">Given a set of items, with a priority and a cost for each, selects out the highest priority items that fit within the fixed budget. </div>
|
 
 
|[[Items within Budget function]]
 
|[[Items within Budget function]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[Media:Grant_exclusion.ANA|Grant exclusion.ana]]
+
|[[Media:Grant exclusion.ANA|Grant exclusion.ana]]
 
|business analysis
 
|business analysis
 +
|
 
|<div style="text-align: left;">Tests a hypothesis about the distribution of an attribute of the marginal rejectee of a grant program, given the relevance of that attribute to award of the grant.</div>
 
|<div style="text-align: left;">Tests a hypothesis about the distribution of an attribute of the marginal rejectee of a grant program, given the relevance of that attribute to award of the grant.</div>
|
 
 
|[[Grant Exclusion Model]]
 
|[[Grant Exclusion Model]]
 
|-
 
|-
Line 50: Line 50:
 
|[[Media:Project Priorities 5 0.ana|Project Priorities 5 0.ana]]
 
|[[Media:Project Priorities 5 0.ana|Project Priorities 5 0.ana]]
 
|business models
 
|business models
 +
|cost analysis, net present value (NPV), uncertainty analysis
 
|<div style="text-align: left;">Evaluates a set of R&D projects (including uncertain R&D costs/revenues), uses multiattribute analysis to compare projects & generates the best portfolio given a R&D budget.</div>
 
|<div style="text-align: left;">Evaluates a set of R&D projects (including uncertain R&D costs/revenues), uses multiattribute analysis to compare projects & generates the best portfolio given a R&D budget.</div>
|cost analysis, net present value (NPV), uncertainty analysis
 
 
|[[Project Planner]]
 
|[[Project Planner]]
 
|-
 
|-
Line 57: Line 57:
 
| Model
 
| Model
 
|[[Media:Steel and aluminum tariff model.ana|Steel and aluminum tariff model.ana]]
 
|[[Media:Steel and aluminum tariff model.ana|Steel and aluminum tariff model.ana]]
 +
|
 
|
 
|
 
| <div style="text-align: left;">Estimate of the net impact of the 2018 import tariffs on steel and aluminum on the US trade deficit.</div>
 
| <div style="text-align: left;">Estimate of the net impact of the 2018 import tariffs on steel and aluminum on the US trade deficit.</div>
|
 
 
|[[Steel and Aluminum import tariff impact on US trade deficit]]
 
|[[Steel and Aluminum import tariff impact on US trade deficit]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[Media: Tax bracket interpolation 2021.ana|Tax bracket interpolation 2021.ana]]
+
|[[Media:Tax bracket interpolation 2021.ana|Tax bracket interpolation 2021.ana]]
 +
|
 
|
 
|
 
|<div style="text-align: left;">Computes amount of tax due from taxable income for a 2017 US Federal tax return.</div>
 
|<div style="text-align: left;">Computes amount of tax due from taxable income for a 2017 US Federal tax return.</div>
|
 
 
|[[Tax bracket interpolation]]
 
|[[Tax bracket interpolation]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[Media:Feasible_Sampler.ana|Feasible Sampler.ana]]
+
|[[Media:Feasible Sampler.ana|Feasible Sampler.ana]]
 
|feasibility
 
|feasibility
 +
|
 
|<div style="text-align: left;">Implements a button that will sample a collection of chance variables, then reset the sample size and keep only those sample points that are "feasible".</div>
 
|<div style="text-align: left;">Implements a button that will sample a collection of chance variables, then reset the sample size and keep only those sample points that are "feasible".</div>
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Cross-validation example.ana|Cross-validation example.ana]]
+
|[[Media:Cross-validation example.ana|Cross-validation example.ana]]
 
|
 
|
 +
|cross-validation, overfitting, non-linear kernel functions
 
|<div style="text-align: left;">Fits a non-linear kernel function to the residual error, and uses cross-validation to determine how many kernel functions should be used.</div>
 
|<div style="text-align: left;">Fits a non-linear kernel function to the residual error, and uses cross-validation to determine how many kernel functions should be used.</div>
|cross-validation, overfitting, non-linear kernel functions
 
 
|[[Cross-Validation / Fitting Kernel Functions to Data]]
 
|[[Cross-Validation / Fitting Kernel Functions to Data]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Bootstrapping.ana|Bootstrapping.ana]]
+
|[[Media:Bootstrapping.ana|Bootstrapping.ana]]
 
|
 
|
 +
|bootstrapping, sampling error, re-sampling
 
|<div style="text-align: left;">Bootstrapping; estimates sampling error by resampling the original data.</div>
 
|<div style="text-align: left;">Bootstrapping; estimates sampling error by resampling the original data.</div>
|bootstrapping, sampling error, re-sampling
 
 
|[[Statistical Bootstrapping]]
 
|[[Statistical Bootstrapping]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Kernel_Density_Estimation.ana|Kernel Density Estimation.ana]]
+
|[[Media:Kernel Density Estimation.ana|Kernel Density Estimation.ana]]
 
|
 
|
 +
|kernel density estimation, kernel density smoothing
 
|<div style="text-align: left;">Demonstrates a very simple fixed-width kernel density estimator to estimate a "smooth" probability density.</div>
 
|<div style="text-align: left;">Demonstrates a very simple fixed-width kernel density estimator to estimate a "smooth" probability density.</div>
|kernel density estimation, kernel density smoothing
 
 
|[[Smooth PDF plots using Kernel Density Estimation]]
 
|[[Smooth PDF plots using Kernel Density Estimation]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Output and input columns.ana|Output and input columns.ana]]
+
|[[Media:Output and input columns.ana|Output and input columns.ana]]
 
|
 
|
 +
|data analysis
 
|<div style="text-align: left;">Presents an input table to a user, where one column is populated with computed output data, the other column with checkboxes for the user to select.</div>
 
|<div style="text-align: left;">Presents an input table to a user, where one column is populated with computed output data, the other column with checkboxes for the user to select.</div>
|data analysis
 
 
|[[Output and Input Columns in Same Table]]
 
|[[Output and Input Columns in Same Table]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Platform 2018b.ana|Platform2018b.ana]]
+
|[[Media:Platform 2018b.ana|Platform2018b.ana]]
 
|offshore platforms, oil and gas, stakeholders, rigs to reefs, decision support
 
|offshore platforms, oil and gas, stakeholders, rigs to reefs, decision support
 +
|decision analysis, multi-attribute, sensitivity analysis
 
|<div style="text-align: left;">Determined how to decommission California's 27 offshore oil platforms.</div>
 
|<div style="text-align: left;">Determined how to decommission California's 27 offshore oil platforms.</div>
|decision analysis, multi-attribute, sensitivity analysis
 
 
|[[From Controversy to Consensus: California's offshore oil platforms]]
 
|[[From Controversy to Consensus: California's offshore oil platforms]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Comparing retirement account types.ana|Comparing retirement account types.ana]] or [[media:Comparing retirement account types without sensitivity.ana|Free 101 Compatible Version]]
+
|[[Media:Comparing retirement account types.ana|Comparing retirement account types.ana]] or [[Media:Comparing retirement account types without sensitivity.ana|Free 101 Compatible Version]]
 
|401(k), IRA, retirement account, decision analysis, uncertainty
 
|401(k), IRA, retirement account, decision analysis, uncertainty
 +
|[[MultiTable]]s, sensitivity analysis
 
|<div style="text-align: left;">Explores tradeoffs between different retirement account types.</div>
 
|<div style="text-align: left;">Explores tradeoffs between different retirement account types.</div>
|[[MultiTable]]s, sensitivity analysis
 
 
|[[Retirement plan type comparison]]
 
|[[Retirement plan type comparison]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Plane catching with UI 2020.ANA|Plane catching with UI 2020.ANA]]
+
|[[Media:Plane catching with UI 2020.ANA|Plane catching with UI 2020.ANA]]
 
|
 
|
 +
|decision theory, decision analysis, uncertainty, Monte Carlo simulation, value of information, EVPI, EVIU
 
|<div style="text-align: left;">Determines when you should leave home to catch an early morning plane departure.</div>
 
|<div style="text-align: left;">Determines when you should leave home to catch an early morning plane departure.</div>
|decision theory, decision analysis, uncertainty, Monte Carlo simulation, value of information, EVPI, EVIU
 
 
|[[Plane Catching Decision with Expected Value of Including Uncertainty]]
 
|[[Plane Catching Decision with Expected Value of Including Uncertainty]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Marginal Analysis for Control of SO2 Emissions.ana|Marginal Analysis for Control of SO2 Emissions.ana]]
+
|[[Media:Marginal Analysis for Control of SO2 Emissions.ana|Marginal Analysis for Control of SO2 Emissions.ana]]
 
|environmental engineering
 
|environmental engineering
 +
|cost-benefit analysis, marginal analysis
 
|<div style="text-align: left;">Marginal analysis a.k.a. benefit/cost analysis to determine the policy alternative that leads us to the most economically efficient level of cleanup of acid rain from coal-burning electric-generating plants.</div>
 
|<div style="text-align: left;">Marginal analysis a.k.a. benefit/cost analysis to determine the policy alternative that leads us to the most economically efficient level of cleanup of acid rain from coal-burning electric-generating plants.</div>
|cost-benefit analysis, marginal analysis
 
 
|[[Marginal Analysis for Control of SO2 emissions]]
 
|[[Marginal Analysis for Control of SO2 emissions]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[Media:Donor_Presenter_Dashboard_II.ANA|Donor-Presenter Dashboard.ana]]
+
|[[Media:Donor Presenter Dashboard II.ANA|Donor-Presenter Dashboard.ana]]
 
|
 
|
 +
|dynamic models, Markov processes
 
|<div style="text-align: left;">Implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment.  It supports immigration to, and emigration from, every node.</div>
 
|<div style="text-align: left;">Implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment.  It supports immigration to, and emigration from, every node.</div>
|dynamic models, Markov processes
 
 
|[[Donor/Presenter Dashboard]]
 
|[[Donor/Presenter Dashboard]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Photosynthesis regulation.ANA|Photosynthesis Regulation.ana]] - main regulation pathways<br />[[media:Photosystem.ana | Photosystem.ana]] - rough sketch of genetic regulation
+
|[[Media:Photosynthesis regulation.ANA|Photosynthesis Regulation.ana]] - main regulation pathways<br />[[Media:Photosystem.ana| Photosystem.ana]] - rough sketch of genetic regulation
 
|photosynthesis
 
|photosynthesis
 +
|dynamic models
 
|<div style="text-align: left;">A model of how photosynthesis is regulated inside a cyanobacteria. Simulates the concentration levels of key transport molecules along the chain.</div>
 
|<div style="text-align: left;">A model of how photosynthesis is regulated inside a cyanobacteria. Simulates the concentration levels of key transport molecules along the chain.</div>
|dynamic models
 
 
|[[Regulation of Photosynthesis]]
 
|[[Regulation of Photosynthesis]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Time-series-reindexing.ana|Time-series-reindexing.ana]]
+
|[[Media:Time-series-reindexing.ana|Time-series-reindexing.ana]]
 
|
 
|
 +
|dynamic models, forecasting, time-series re-indexing
 
|<div style="text-align: left;">Examples of time-series re-indexing.</div>
 
|<div style="text-align: left;">Examples of time-series re-indexing.</div>
|dynamic models, forecasting, time-series re-indexing
 
 
|[[Time-series re-indexing]]
 
|[[Time-series re-indexing]]
 
|-
 
|-
Line 167: Line 168:
 
| Model
 
| Model
 
|[[Media:PostCompression.ana|Post Compression Model]]
 
|[[Media:PostCompression.ana|Post Compression Model]]
 +
|
 
|
 
|
 
|<div style="text-align: left;">Calculator for computing the maximum load that can be handled by a Douglas Fir - Larch post of a given size, grade, and composition in a construction setting.</div>
 
|<div style="text-align: left;">Calculator for computing the maximum load that can be handled by a Douglas Fir - Larch post of a given size, grade, and composition in a construction setting.</div>
|
 
 
|[[Timber Post Compression Load Capacity]]
 
|[[Timber Post Compression Load Capacity]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Compression_Post_Load_Capacity.ana|Compression Post Load Capacity.ana]]
+
|[[Media:Compression Post Load Capacity.ana|Compression Post Load Capacity.ana]]
 
|
 
|
 +
|compression analysis
 
|<div style="text-align: left;">Computes the load that a Douglas-Fir Larch post can support in compression.  Works for different timber types and grades and post sizes.</div>
 
|<div style="text-align: left;">Computes the load that a Douglas-Fir Larch post can support in compression.  Works for different timber types and grades and post sizes.</div>
|compression analysis
 
 
|[[Compression Post Load Calculator]]
 
|[[Compression Post Load Calculator]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Daylighting analyzer.ana|Daylighting analyzer.ana]]
+
|[[Media:Daylighting analyzer.ana|Daylighting analyzer.ana]]
 
|engineering
 
|engineering
 +
|cost-benefits analysis
 
|<div style="text-align: left;">How to analyze lifecycle costs and savings from daylighting options in building design.</div>
 
|<div style="text-align: left;">How to analyze lifecycle costs and savings from daylighting options in building design.</div>
|cost-benefits analysis
 
 
|[[Daylighting Options in Building Design]]
 
|[[Daylighting Options in Building Design]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[Media:California_Power_Plants.ANA|California Power Plants.ana ]]
+
|[[Media:California Power Plants.ANA|California Power Plants.ana]]
 
|power plants
 
|power plants
 +
|edit table, choice menu, pulldown menu, checkbox
 
|<div style="text-align: left;">Example showing how to use Choice menus and Checkbox inside an Edit table.</div>
 
|<div style="text-align: left;">Example showing how to use Choice menus and Checkbox inside an Edit table.</div>
|edit table, choice menu, pulldown menu, checkbox
 
 
|[[California Power Plants]]
 
|[[California Power Plants]]
 
|-
 
|-
  
 
| Model
 
| Model
|Requires Analytica Optimizer<br />[[media:Electrical Transmission.ana|Electrical Transmission.ana]]
+
|Requires Analytica Optimizer<br />[[Media:Electrical Transmission.ana|Electrical Transmission.ana]]
 
|electrical engineering, power generation and transmission
 
|electrical engineering, power generation and transmission
 +
|
 
|<div style="text-align: left;">Electrical network model that minimizes total cost of generation and transmission.</div>
 
|<div style="text-align: left;">Electrical network model that minimizes total cost of generation and transmission.</div>
|
 
 
|[[Electrical Generation and Transmission]]
 
|[[Electrical Generation and Transmission]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Time of use pricing.ana|Time of use pricing.ana]] & [[media:MECOLS0620.xlsx|MECOLS0620.xlsx]]<br />(both files needed)
+
|[[Media:Time of use pricing.ana|Time of use pricing.ana]] & [[Media:MECOLS0620.xlsx|MECOLS0620.xlsx]]<br />(both files needed)
 
|reading from spreadsheets, time-of-use pricing, electricity pricing
 
|reading from spreadsheets, time-of-use pricing, electricity pricing
 +
|
 
|<div style="text-align: left;">Time-of-use pricing is a rate tariff model used by utility companies that changes more during times when demand tends to exceed supply.</div>
 
|<div style="text-align: left;">Time-of-use pricing is a rate tariff model used by utility companies that changes more during times when demand tends to exceed supply.</div>
|
 
 
|[[Time of Use pricing]]
 
|[[Time of Use pricing]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:color_map.ana|Color map.ana]]
+
|[[Media:Color map.ana|Color map.ana]]
 
|
 
|
 +
|computed cell formatting
 
|<div style="text-align: left;">A model which highlights [[Cell Format Expression|Cell Formatting]] and [[Computed cell formats|Computed Cell Formats]].</div>
 
|<div style="text-align: left;">A model which highlights [[Cell Format Expression|Cell Formatting]] and [[Computed cell formats|Computed Cell Formats]].</div>
|computed cell formatting
 
 
|[[Color Map]]
 
|[[Color Map]]
 
|-
 
|-
Line 223: Line 224:
 
| Model
 
| Model
 
|[[Media:World cup.ana|World cup.ana]]
 
|[[Media:World cup.ana|World cup.ana]]
 +
|
 
|
 
|
 
|<div style="text-align: left;">Demonstrates the [[Poisson|Poisson distribution]] to determine why France beat Croatia in 2018.</div>
 
|<div style="text-align: left;">Demonstrates the [[Poisson|Poisson distribution]] to determine why France beat Croatia in 2018.</div>
|
 
 
|[[2018 World Cup Soccer final]]
 
|[[2018 World Cup Soccer final]]
 
|-
 
|-
Line 232: Line 233:
 
|[http://AnalyticaOnline.com/Lonnie/resnet18.zip resnet18.zip]
 
|[http://AnalyticaOnline.com/Lonnie/resnet18.zip resnet18.zip]
 
|residual network, deep residual learning, image recognition
 
|residual network, deep residual learning, image recognition
 +
|
 
|<div style="text-align: left;">Show it an image, and it tries to recognize what it is an image of, classifying it among 1000 possible categories. It uses an 18-layer residual network.</div>
 
|<div style="text-align: left;">Show it an image, and it tries to recognize what it is an image of, classifying it among 1000 possible categories. It uses an 18-layer residual network.</div>
|
 
 
|[[Image recognition]]
 
|[[Image recognition]]
 
|-
 
|-
Line 240: Line 241:
 
|[[Media:Month to quarter.ana|Month to quarter.ana]]
 
|[[Media:Month to quarter.ana|Month to quarter.ana]]
 
|
 
|
 +
|aggregation, level of detail, days, weeks, months, quarters, years
 
|<div style="text-align: left;">Shows how to transform an array from a finer-grain index (e.g., Month) onto a coarser index (e.g., Quarter).  We generally refer to this as [[Aggregate|aggregation]].</div>
 
|<div style="text-align: left;">Shows how to transform an array from a finer-grain index (e.g., Month) onto a coarser index (e.g., Quarter).  We generally refer to this as [[Aggregate|aggregation]].</div>
|aggregation, level of detail, days, weeks, months, quarters, years
 
 
|[[Transforming Dimensions by transform matrix, month to quarter]]
 
|[[Transforming Dimensions by transform matrix, month to quarter]]
 
|-
 
|-
Line 248: Line 249:
 
|[[Media:Convolution.ana|Convolution.ana]]
 
|[[Media:Convolution.ana|Convolution.ana]]
 
|
 
|
 +
|signal analysis, systems analysis
 
|<div style="text-align: left;">Contains several examples of convolved functions.</div>
 
|<div style="text-align: left;">Contains several examples of convolved functions.</div>
|signal analysis, systems analysis
 
 
|[[Convolution]]
 
|[[Convolution]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Dependency_Tracker.ANA | Dependency Tracker.ana]]
+
|[[Media:Dependency Tracker.ANA| Dependency Tracker.ana]]
 
|
 
|
 +
|dependency analysis
 
|<div style="text-align: left;">This module tracks dependencies through your model, updating the visual appearance of nodes so that you can quickly visualize the paths by which one variable influences another.</div>
 
|<div style="text-align: left;">This module tracks dependencies through your model, updating the visual appearance of nodes so that you can quickly visualize the paths by which one variable influences another.</div>
|dependency analysis
 
 
|[[Dependency Tracker Module]]
 
|[[Dependency Tracker Module]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:French-English.ana|French-English.ana]]
+
|[[Media:French-English.ana|French-English.ana]]
 
|multi-lingual models
 
|multi-lingual models
 +
|
 
|<div style="text-align: left;">Maintains a single influence diagram with Title and Description attributes in both English and French.</div>
 
|<div style="text-align: left;">Maintains a single influence diagram with Title and Description attributes in both English and French.</div>
|
 
 
|[[Multi-lingual Influence Diagram]]
 
|[[Multi-lingual Influence Diagram]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Parsing XML example.ana|Parsing XML example.ana]]
+
|[[Media:Parsing XML example.ana|Parsing XML example.ana]]
 
|data extraction, xml, DOM parsing
 
|data extraction, xml, DOM parsing
 +
|
 
|<div style="text-align: left;">Demonstrates two methods for extracting data: Using a full XML DOM parser, or using regular expressions.</div>
 
|<div style="text-align: left;">Demonstrates two methods for extracting data: Using a full XML DOM parser, or using regular expressions.</div>
|
 
 
|[[Extracting Data from an XML file]]
 
|[[Extracting Data from an XML file]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Vector Math.ana|Vector Math.ana]]
+
|[[Media:Vector Math.ana|Vector Math.ana]]
 
|
 
|
 +
|geospatial analysis, GIS, vector analysis
 
|<div style="text-align: left;">Functions used for computing geospatial coordinates and distances.</div>
 
|<div style="text-align: left;">Functions used for computing geospatial coordinates and distances.</div>
|geospatial analysis, GIS, vector analysis
 
 
|[[Vector Math]]
 
|[[Vector Math]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Total Allowable Removal model with Optimizer.ana | Total Allowable w Optimizer.ana]] or<br />[[media:Total Allowable Removal model w StepInterp.ana|Total Allowable w StepInterp.ana]] for those without Optimizer
+
|[[Media:Total Allowable Removal model with Optimizer.ana| Total Allowable w Optimizer.ana]] or<br />[[Media:Total Allowable Removal model w StepInterp.ana|Total Allowable w StepInterp.ana]] for those without Optimizer
 
|
 
|
 +
|population analysis, dynamic models, optimization analysis
 
|<div style="text-align: left;">Determines how many fish or animals can be caught (landed) annually so that the probability of the population declining X%  in Y years (decline threshold) is less than Z% (risk tolerance).</div>
 
|<div style="text-align: left;">Determines how many fish or animals can be caught (landed) annually so that the probability of the population declining X%  in Y years (decline threshold) is less than Z% (risk tolerance).</div>
|population analysis, dynamic models, optimization analysis
 
 
|[[Total Allowable Harvest]]
 
|[[Total Allowable Harvest]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Cereal Formulation1.ana|Cereal Formulation1.ana]]
+
|[[Media:Cereal Formulation1.ana|Cereal Formulation1.ana]]
 
|product formulation, cereal formulation
 
|product formulation, cereal formulation
 +
|
 
|<div style="text-align: left;">Cereal formulation/discrete mixed integer model that chooses product formulations to minimize total ingredient costs.</div>
 
|<div style="text-align: left;">Cereal formulation/discrete mixed integer model that chooses product formulations to minimize total ingredient costs.</div>
|
 
 
|[[Linearizing a discrete NSP]]
 
|[[Linearizing a discrete NSP]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Neural-Network.ana|Neural Network.ana]]
+
|[[Media:Neural-Network.ana|Neural Network.ana]]
 
|feed-forward neural networks, non-linear regression
 
|feed-forward neural networks, non-linear regression
 +
|optimization analysis
 
|<div style="text-align: left;">Models set up to train a 2-layer feedforward sigmoid network to "learn" the concept represented by the data set(s), and then test how well it does across examples not appearing in the training set.</div>
 
|<div style="text-align: left;">Models set up to train a 2-layer feedforward sigmoid network to "learn" the concept represented by the data set(s), and then test how well it does across examples not appearing in the training set.</div>
|optimization analysis
 
 
|[[Neural Network]]
 
|[[Neural Network]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Earthquake expenses.ana|Earthquake expenses.ana]]
+
|[[Media:Earthquake expenses.ana|Earthquake expenses.ana]]
 
|
 
|
 +
|risk analysis, cost analysis
 
|<div style="text-align: left;">An example of risk analysis with time-dependence and costs shifted over time.</div>
 
|<div style="text-align: left;">An example of risk analysis with time-dependence and costs shifted over time.</div>
|risk analysis, cost analysis
 
 
|[[Earthquake Expenses]]
 
|[[Earthquake Expenses]]
 
|-
 
|-
  
 
| Model
 
| Model
|'''Best used with Analytica Optimizer'''<br />[[media:Loan policy selection.ANA|Loan policy selection.ana]]
+
|'''Best used with Analytica Optimizer'''<br />[[Media:Loan policy selection.ANA|Loan policy selection.ana]]
 
|creditworthiness, credit rating, default risk
 
|creditworthiness, credit rating, default risk
 +
|risk analysis
 
|<div style="text-align: left;">Helps a lender decide optimal credit rating threshold to require and what interest rate (above prime) to charge.</div>
 
|<div style="text-align: left;">Helps a lender decide optimal credit rating threshold to require and what interest rate (above prime) to charge.</div>
|risk analysis
 
 
|[[Loan Policy Selection]]
 
|[[Loan Policy Selection]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Hubbard and Seiersen cyberrisk.ana|Hubbard_and_Seiersen_cyberrisk.ana]]
+
|[[Media:Hubbard and Seiersen cyberrisk.ana|Hubbard_and_Seiersen_cyberrisk.ana]]
 
|cybersecurity risk
 
|cybersecurity risk
 +
|loss exceedance curve, simulation
 
|<div style="text-align: left;">Simulates loss exceedance curves for a set of cybersecurity events, the likelihood and probabilistic monetary impact of which have been characterized by system experts.</div>
 
|<div style="text-align: left;">Simulates loss exceedance curves for a set of cybersecurity events, the likelihood and probabilistic monetary impact of which have been characterized by system experts.</div>
|loss exceedance curve, simulation
 
 
|[[Inherent and Residual Risk Simulation]]
 
|[[Inherent and Residual Risk Simulation]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:Red State Blue State plot.ana]]
+
|[[Media:Red_State_Blue_State_plot.ana]]
 
|map, states
 
|map, states
 +
|graphing
 
|<div style="text-align: left;">Example containing the shape outlines for each of the 50 US states, along with a graph that uses color to depict something that varies by state.</div>
 
|<div style="text-align: left;">Example containing the shape outlines for each of the 50 US states, along with a graph that uses color to depict something that varies by state.</div>
|graphing
 
 
|[[Red or blue state]]
 
|[[Red or blue state]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:COVID Model 2020--03-25.ana|COVID Model 2020--03-25.ana]]
+
|[[Media:COVID Model 2020--03-25.ana|COVID Model 2020--03-25.ana]]
 
|covid, covid-19, coronavirus, corona, epidemic
 
|covid, covid-19, coronavirus, corona, epidemic
 +
|
 
|<div style="text-align: left;">A systems dynamics style SICR model of the COVID-19 outbreak within the state of Colorado.</div>
 
|<div style="text-align: left;">A systems dynamics style SICR model of the COVID-19 outbreak within the state of Colorado.</div>
|
 
 
|[[COVID-19 State Simulator, a Systems Dynamics approach]]
 
|[[COVID-19 State Simulator, a Systems Dynamics approach]]
 
|-
 
|-
Line 352: Line 353:
 
|[[Media:Corona Markov.ana|Corona Markov.ana]]
 
|[[Media:Corona Markov.ana|Corona Markov.ana]]
 
|covid, covid-19, coronavirus, corona, epidemic, sensitivity analyses
 
|covid, covid-19, coronavirus, corona, epidemic, sensitivity analyses
 +
|
 
|<div style="text-align: left;">Explores the progression of the COVID-19 coronavirus epidemic in the US, and to explore the effects of different levels of social isolation.</div>
 
|<div style="text-align: left;">Explores the progression of the COVID-19 coronavirus epidemic in the US, and to explore the effects of different levels of social isolation.</div>
|
 
 
|[[How social isolation impacts COVID-19 spread in the US - A Markov model approach]]
 
|[[How social isolation impacts COVID-19 spread in the US - A Markov model approach]]
 
|-
 
|-
Line 360: Line 361:
 
|[[Media:Modelo Epidemiologoco para el Covid-19 con cuarentena.ana|Modelo Epidemiológoco para el Covid-19 con cuarentena.ana]]
 
|[[Media:Modelo Epidemiologoco para el Covid-19 con cuarentena.ana|Modelo Epidemiológoco para el Covid-19 con cuarentena.ana]]
 
|covid, covid-19, coronavirus, corona, epidemic
 
|covid, covid-19, coronavirus, corona, epidemic
 +
|
 
|<div style="text-align: left;">Un modelo en cadena de Markov del impacto previsto de la enfermedad coronavirus COVID-19 en el Perú, y del impacto del aislamiento social.</div>
 
|<div style="text-align: left;">Un modelo en cadena de Markov del impacto previsto de la enfermedad coronavirus COVID-19 en el Perú, y del impacto del aislamiento social.</div>
|
 
 
|[[Epidemiological model of COVID-19 for Perú, en español]]
 
|[[Epidemiological model of COVID-19 for Perú, en español]]
 
|-
 
|-
  
 
| Model
 
| Model
|[[media:COVID-19_Triangle_Suppression.ana|COVID-19 Triangle Suppression.ana]]
+
|[[Media:COVID-19 Triangle Suppression.ana|COVID-19 Triangle Suppression.ana]]
 
|covid, covid-19, coronavirus, corona, epidemic
 
|covid, covid-19, coronavirus, corona, epidemic
 +
|
 
|<div style="text-align: left;">Models progression of the COVID-19 pandemic in the US, understanding the amount of time that is required for lock down measures when a suppression strategy is adopted.</div>
 
|<div style="text-align: left;">Models progression of the COVID-19 pandemic in the US, understanding the amount of time that is required for lock down measures when a suppression strategy is adopted.</div>
|
 
 
|[[A Triangle Suppression model of COVID-19]]
 
|[[A Triangle Suppression model of COVID-19]]
 
|-
 
|-
Line 376: Line 377:
 
|[[Media:Simple COVID-19.ana|Simple COVID-19.ana]]
 
|[[Media:Simple COVID-19.ana|Simple COVID-19.ana]]
 
|covid, covid-19, coronavirus, corona, epidemic
 
|covid, covid-19, coronavirus, corona, epidemic
 +
|
 
|<div style="text-align: left;">Explores possible COVID-19 Coronavirus scenarios from the beginning of March, 2020 through the end of 2020 in the US.</div>
 
|<div style="text-align: left;">Explores possible COVID-19 Coronavirus scenarios from the beginning of March, 2020 through the end of 2020 in the US.</div>
|
 
 
|[[COVID-19 Coronavirus SICR progression for 2020]]
 
|[[COVID-19 Coronavirus SICR progression for 2020]]
 
|-
 
|-
Line 384: Line 385:
 
|[[Media:US COVID-19 Data.ana|US COVID-19 Data.ana]]
 
|[[Media:US COVID-19 Data.ana|US COVID-19 Data.ana]]
 
|covid, covid-19, coronavirus, corona, epidemic, death, infection
 
|covid, covid-19, coronavirus, corona, epidemic, death, infection
 +
|
 
|<div style="text-align: left;">Reads in [https://github.com/nytimes/covid-19-data COVID-19 data from the New York Times] and transforms it into a form that is convenient to work with in Analytica.</div>
 
|<div style="text-align: left;">Reads in [https://github.com/nytimes/covid-19-data COVID-19 data from the New York Times] and transforms it into a form that is convenient to work with in Analytica.</div>
|
 
 
|[[COVID-19 Case and Death data for US states and counties]]
 
|[[COVID-19 Case and Death data for US states and counties]]
 
|-
 
|-
Line 392: Line 393:
 
|[[Media:Voluntary vs mandatory testing.ana|Voluntary vs mandatory testing.ana]]
 
|[[Media:Voluntary vs mandatory testing.ana|Voluntary vs mandatory testing.ana]]
 
|covid, covid-19, coronavirus, corona, epidemic
 
|covid, covid-19, coronavirus, corona, epidemic
 +
|
 
|<div style="text-align: left;">Computes the rate of infection in scenarios when COVID-19 testing is required/optional,based on prevalence rates, test accuracies and voluntary testing rates.</div>
 
|<div style="text-align: left;">Computes the rate of infection in scenarios when COVID-19 testing is required/optional,based on prevalence rates, test accuracies and voluntary testing rates.</div>
|
 
 
|[[Mandatory vs Voluntary testing policies]]
 
|[[Mandatory vs Voluntary testing policies]]
 
|-
 
|-

Revision as of 08:15, 17 January 2023



This page lists example models and libraries. You can download them from here or (in some cases) link to a page with more details. Feel free to include and upload your own models and libraries.

Model/Library Download Domain Methods Description For more
Model Marginal abatement home heating.ana carbon price, energy efficiency, climate policy graph methods, optimal allocation, budget constraint
Shows how to set up a Marginal Abatement graph in Analytica.
Marginal Abatement Graph
Model Solar Panel Analysis.ana renewable energy, photovoltaics, tax credits net present value, internal rate of return, agile modeling
Explores whether it would it be cost effective to install solar panels on the roof of a house in San Jose, California.
Solar Panel Analysis
Model Items within budget.ana
Given a set of items, with a priority and a cost for each, selects out the highest priority items that fit within the fixed budget.
Items within Budget function
Model Grant exclusion.ana business analysis
Tests a hypothesis about the distribution of an attribute of the marginal rejectee of a grant program, given the relevance of that attribute to award of the grant.
Grant Exclusion Model
Model Project Priorities 5 0.ana business models cost analysis, net present value (NPV), uncertainty analysis
Evaluates a set of R&D projects (including uncertain R&D costs/revenues), uses multiattribute analysis to compare projects & generates the best portfolio given a R&D budget.
Project Planner
Model Steel and aluminum tariff model.ana
Estimate of the net impact of the 2018 import tariffs on steel and aluminum on the US trade deficit.
Steel and Aluminum import tariff impact on US trade deficit
Model Tax bracket interpolation 2021.ana
Computes amount of tax due from taxable income for a 2017 US Federal tax return.
Tax bracket interpolation
Model Feasible Sampler.ana feasibility
Implements a button that will sample a collection of chance variables, then reset the sample size and keep only those sample points that are "feasible".
Model Cross-validation example.ana cross-validation, overfitting, non-linear kernel functions
Fits a non-linear kernel function to the residual error, and uses cross-validation to determine how many kernel functions should be used.
Cross-Validation / Fitting Kernel Functions to Data
Model Bootstrapping.ana bootstrapping, sampling error, re-sampling
Bootstrapping; estimates sampling error by resampling the original data.
Statistical Bootstrapping
Model Kernel Density Estimation.ana kernel density estimation, kernel density smoothing
Demonstrates a very simple fixed-width kernel density estimator to estimate a "smooth" probability density.
Smooth PDF plots using Kernel Density Estimation
Model Output and input columns.ana data analysis
Presents an input table to a user, where one column is populated with computed output data, the other column with checkboxes for the user to select.
Output and Input Columns in Same Table
Model Platform2018b.ana offshore platforms, oil and gas, stakeholders, rigs to reefs, decision support decision analysis, multi-attribute, sensitivity analysis
Determined how to decommission California's 27 offshore oil platforms.
From Controversy to Consensus: California's offshore oil platforms
Model Comparing retirement account types.ana or Free 101 Compatible Version 401(k), IRA, retirement account, decision analysis, uncertainty MultiTables, sensitivity analysis
Explores tradeoffs between different retirement account types.
Retirement plan type comparison
Model Plane catching with UI 2020.ANA decision theory, decision analysis, uncertainty, Monte Carlo simulation, value of information, EVPI, EVIU
Determines when you should leave home to catch an early morning plane departure.
Plane Catching Decision with Expected Value of Including Uncertainty
Model Marginal Analysis for Control of SO2 Emissions.ana environmental engineering cost-benefit analysis, marginal analysis
Marginal analysis a.k.a. benefit/cost analysis to determine the policy alternative that leads us to the most economically efficient level of cleanup of acid rain from coal-burning electric-generating plants.
Marginal Analysis for Control of SO2 emissions
Model Donor-Presenter Dashboard.ana dynamic models, Markov processes
Implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment. It supports immigration to, and emigration from, every node.
Donor/Presenter Dashboard
Model Photosynthesis Regulation.ana - main regulation pathways
Photosystem.ana - rough sketch of genetic regulation
photosynthesis dynamic models
A model of how photosynthesis is regulated inside a cyanobacteria. Simulates the concentration levels of key transport molecules along the chain.
Regulation of Photosynthesis
Model Time-series-reindexing.ana dynamic models, forecasting, time-series re-indexing
Examples of time-series re-indexing.
Time-series re-indexing
Model Post Compression Model
Calculator for computing the maximum load that can be handled by a Douglas Fir - Larch post of a given size, grade, and composition in a construction setting.
Timber Post Compression Load Capacity
Model Compression Post Load Capacity.ana compression analysis
Computes the load that a Douglas-Fir Larch post can support in compression. Works for different timber types and grades and post sizes.
Compression Post Load Calculator
Model Daylighting analyzer.ana engineering cost-benefits analysis
How to analyze lifecycle costs and savings from daylighting options in building design.
Daylighting Options in Building Design
Model California Power Plants.ana power plants edit table, choice menu, pulldown menu, checkbox
Example showing how to use Choice menus and Checkbox inside an Edit table.
California Power Plants
Model Requires Analytica Optimizer
Electrical Transmission.ana
electrical engineering, power generation and transmission
Electrical network model that minimizes total cost of generation and transmission.
Electrical Generation and Transmission
Model Time of use pricing.ana & MECOLS0620.xlsx
(both files needed)
reading from spreadsheets, time-of-use pricing, electricity pricing
Time-of-use pricing is a rate tariff model used by utility companies that changes more during times when demand tends to exceed supply.
Time of Use pricing
Model Color map.ana computed cell formatting
A model which highlights Cell Formatting and Computed Cell Formats.
Color Map
Model World cup.ana
Demonstrates the Poisson distribution to determine why France beat Croatia in 2018.
2018 World Cup Soccer final
Model resnet18.zip residual network, deep residual learning, image recognition
Show it an image, and it tries to recognize what it is an image of, classifying it among 1000 possible categories. It uses an 18-layer residual network.
Image recognition
Model Month to quarter.ana aggregation, level of detail, days, weeks, months, quarters, years
Shows how to transform an array from a finer-grain index (e.g., Month) onto a coarser index (e.g., Quarter). We generally refer to this as aggregation.
Transforming Dimensions by transform matrix, month to quarter
Model Convolution.ana signal analysis, systems analysis
Contains several examples of convolved functions.
Convolution
Model Dependency Tracker.ana dependency analysis
This module tracks dependencies through your model, updating the visual appearance of nodes so that you can quickly visualize the paths by which one variable influences another.
Dependency Tracker Module
Model French-English.ana multi-lingual models
Maintains a single influence diagram with Title and Description attributes in both English and French.
Multi-lingual Influence Diagram
Model Parsing XML example.ana data extraction, xml, DOM parsing
Demonstrates two methods for extracting data: Using a full XML DOM parser, or using regular expressions.
Extracting Data from an XML file
Model Vector Math.ana geospatial analysis, GIS, vector analysis
Functions used for computing geospatial coordinates and distances.
Vector Math
Model Total Allowable w Optimizer.ana or
Total Allowable w StepInterp.ana for those without Optimizer
population analysis, dynamic models, optimization analysis
Determines how many fish or animals can be caught (landed) annually so that the probability of the population declining X% in Y years (decline threshold) is less than Z% (risk tolerance).
Total Allowable Harvest
Model Cereal Formulation1.ana product formulation, cereal formulation
Cereal formulation/discrete mixed integer model that chooses product formulations to minimize total ingredient costs.
Linearizing a discrete NSP
Model Neural Network.ana feed-forward neural networks, non-linear regression optimization analysis
Models set up to train a 2-layer feedforward sigmoid network to "learn" the concept represented by the data set(s), and then test how well it does across examples not appearing in the training set.
Neural Network
Model Earthquake expenses.ana risk analysis, cost analysis
An example of risk analysis with time-dependence and costs shifted over time.
Earthquake Expenses
Model Best used with Analytica Optimizer
Loan policy selection.ana
creditworthiness, credit rating, default risk risk analysis
Helps a lender decide optimal credit rating threshold to require and what interest rate (above prime) to charge.
Loan Policy Selection
Model Hubbard_and_Seiersen_cyberrisk.ana cybersecurity risk loss exceedance curve, simulation
Simulates loss exceedance curves for a set of cybersecurity events, the likelihood and probabilistic monetary impact of which have been characterized by system experts.
Inherent and Residual Risk Simulation
Model Media:Red_State_Blue_State_plot.ana map, states graphing
Example containing the shape outlines for each of the 50 US states, along with a graph that uses color to depict something that varies by state.
Red or blue state
Model COVID Model 2020--03-25.ana covid, covid-19, coronavirus, corona, epidemic
A systems dynamics style SICR model of the COVID-19 outbreak within the state of Colorado.
COVID-19 State Simulator, a Systems Dynamics approach
Model Corona Markov.ana covid, covid-19, coronavirus, corona, epidemic, sensitivity analyses
Explores the progression of the COVID-19 coronavirus epidemic in the US, and to explore the effects of different levels of social isolation.
How social isolation impacts COVID-19 spread in the US - A Markov model approach
Model Modelo Epidemiológoco para el Covid-19 con cuarentena.ana covid, covid-19, coronavirus, corona, epidemic
Un modelo en cadena de Markov del impacto previsto de la enfermedad coronavirus COVID-19 en el Perú, y del impacto del aislamiento social.
Epidemiological model of COVID-19 for Perú, en español
Model COVID-19 Triangle Suppression.ana covid, covid-19, coronavirus, corona, epidemic
Models progression of the COVID-19 pandemic in the US, understanding the amount of time that is required for lock down measures when a suppression strategy is adopted.
A Triangle Suppression model of COVID-19
Model Simple COVID-19.ana covid, covid-19, coronavirus, corona, epidemic
Explores possible COVID-19 Coronavirus scenarios from the beginning of March, 2020 through the end of 2020 in the US.
COVID-19 Coronavirus SICR progression for 2020
Model US COVID-19 Data.ana covid, covid-19, coronavirus, corona, epidemic, death, infection
Reads in COVID-19 data from the New York Times and transforms it into a form that is convenient to work with in Analytica.
COVID-19 Case and Death data for US states and counties
Model Voluntary vs mandatory testing.ana covid, covid-19, coronavirus, corona, epidemic
Computes the rate of infection in scenarios when COVID-19 testing is required/optional,based on prevalence rates, test accuracies and voluntary testing rates.
Mandatory vs Voluntary testing policies
Comments


You are not allowed to post comments.