Non-central F distribution
Format: NCF(n1,n2,NcP)
If ChiSq(n1,d) is a non-central chi-squared random variable (with d=NcP) and ChiSq(n2) a chi-squared independent of the first, then
follows a non-central F distribution.
Kotz et. al (1995) provide a thorough explanation of its origin and uses.
ModelRisk functions added to Microsoft Excel for the Non-Central F distribution
VoseNCF generates random values from this distribution for Monte Carlo simulation, or calculates a percentile if used with a U parameter.
VoseNCFObject constructs a distribution object for this distribution.
VoseNCFFProb returns the probability density or cumulative distribution function for this distribution.
VoseNCFProb10 returns the log10 of the probability density or cumulative distribution function.
VoseNCFFit generates values from this distribution fitted to data, or calculates a percentile from the fitted distribution.
VoseNCFFitObject constructs a distribution object of this distribution fitted to data.
VoseNCFFitP returns the parameters of this distribution fitted to data.
Non-central F distribution equations
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- Risk management
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- Modeling expert opinion
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- Classical statistics
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- RISK ANALYSIS SOFTWARE
- Risk analysis software from Vose Software
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- Tamara - project risk analysis
- Introduction to Tamara project risk analysis software
- Launching Tamara
- Importing a schedule
- Assigning uncertainty to the amount of work in the project
- Assigning uncertainty to productivity levels in the project
- Adding risk events to the project schedule
- Adding cost uncertainty to the project schedule
- Saving the Tamara model
- Running a Monte Carlo simulation in Tamara
- Reviewing the simulation results in Tamara
- Using Tamara results for cost and financial risk analysis
- Creating, updating and distributing a Tamara report
- Tips for creating a schedule model suitable for Monte Carlo simulation
- Random number generator and sampling algorithms used in Tamara
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- Correlation with project schedule risk analysis
- Pelican - enterprise risk management
- ModelRisk Cloud system
- ModelRisk Cloud introduction
- Getting your software ready
- Starting ModelRisk Cloud
- Uploading a risk analysis model
- Creating a new scenario for the risk analysis model
- Running a Monte Carlo simulation of the model
- Uploading a SID (Simulation Imported Data file)
- Building a risk analysis model that uses SIDs
- Viewing the Monte Carlo results from a simulation run
- Administrator's use of ModelRisk Cloud
- Preparing a risk analysis model for upload to ModelRisk Cloud
- ModelRisk Result Viewer
Enterprise Risk Management software (ERM)
Learn more about our enterprise risk analysis management software tool, Pelican
