53 lines
1.6 KiB
Markdown
53 lines
1.6 KiB
Markdown
Distributions to include:
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1. PERT (Program Evaluation and Review Technique) Distribution
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- Useful when you have estimates for minimum, most likely, and maximum
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values, with a tendency to weight the most likely value more heavily.
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2. Triangular Distribution
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- Ideal when you have estimates for minimum, most likely, and maximum values,
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but less certainty about the weight of the most likely value compared to
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PERT.
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3. Normal (Gaussian) Distribution
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- Appropriate for natural phenomena and when you expect values to be
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symmetrically distributed around a mean.
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4. Log-Normal Distribution
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- Suitable for modeling quantities that are always positive and have a skewed
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distribution, such as project durations or costs.
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5. Uniform Distribution
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- Used when all values between a minimum and maximum are equally likely,
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often in the absence of more specific information.
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6. Beta Distribution
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- Flexible for modeling various shapes of uncertainty, especially useful when
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historical data is available to fit the distribution.
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7. Gamma Distribution
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- Often used for modeling waiting times or project durations, especially when
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the distribution is skewed to the right.
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8. Weibull Distribution
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- Commonly used in reliability analysis and for modeling time-to-failure in
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projects or systems.
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9. Exponential Distribution
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- Useful for modeling the time between independent events, such as time
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between failures in a system.
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10. Discrete Uniform Distribution
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- Applicable when dealing with a finite number of equally likely outcomes,
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such as selecting from a set of discrete options.
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