distimate/TODO.md

Distributions to include:

1. PERT (Program Evaluation and Review Technique) Distribution

   • Useful when you have estimates for minimum, most likely, and maximum values, with a tendency to weight the most likely value more heavily.

2. Triangular Distribution

   • Ideal when you have estimates for minimum, most likely, and maximum values, but less certainty about the weight of the most likely value compared to PERT.

3. Normal (Gaussian) Distribution

   • Appropriate for natural phenomena and when you expect values to be symmetrically distributed around a mean.

4. Log-Normal Distribution

   • Suitable for modeling quantities that are always positive and have a skewed distribution, such as project durations or costs.

5. Uniform Distribution

   • Used when all values between a minimum and maximum are equally likely, often in the absence of more specific information.

6. Beta Distribution

   • Flexible for modeling various shapes of uncertainty, especially useful when historical data is available to fit the distribution.

7. Gamma Distribution

   • Often used for modeling waiting times or project durations, especially when the distribution is skewed to the right.

8. Weibull Distribution

   • Commonly used in reliability analysis and for modeling time-to-failure in projects or systems.

9. Exponential Distribution

   • Useful for modeling the time between independent events, such as time between failures in a system.

10. Discrete Uniform Distribution

    • Applicable when dealing with a finite number of equally likely outcomes, such as selecting from a set of discrete options.