Zero-truncated Hypergeometric equations
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- Approximations to the Inverse Hypergeometric Distribution
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- Stirlings formula for factorials
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- Normal_approximation_to_the_Binomial_distribution
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- Modeling expert opinion
- Modeling expert opinion introduction
- Sources of error in subjective estimation
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- A subjective estimate of a discrete quantity
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- Probability theory and statistics
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- Stochastic processes introduction
- Poisson process
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- The hypergeometric process
- Number in a sample with a particular characteristic in a hypergeometric process
- Number of hypergeometric samples to get a specific number of successes
- Number of samples taken to have an observed s in a hypergeometric process
- Estimate of population and sub-population sizes in a hypergeometric process
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- Technical subjects
- Comparison of Classical and Bayesian methods
- Comparison of classic and Bayesian estimate of Normal distribution parameters
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- Which technique should you use?
- Comparison of classic and Bayesian estimate of mean "time" beta in a Poisson process
- Classical statistics
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- Example: Parametric Bootstrap estimate of the mean of a Normal distribution with known standard deviation
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- Example: Parametric Bootstrap estimate of mean number of calls per hour at a telephone exchange
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- Bayesian estimate of the mean of a Normal distribution with unknown standard deviation
- Determining prior distributions for correlated parameters
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- Bayesian analysis example: The Monty Hall problem
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- RISK ANALYSIS SOFTWARE
- Risk analysis software from Vose Software
- ModelRisk - risk modeling in Excel
- ModelRisk functions explained
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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
- Probability distributions used in Tamara
- Correlation with project schedule risk analysis
- Pelican - enterprise risk management