beta_inv()
Learn how to use the beta_inv() function to return the inverse of the beta cumulative probability density function.
Returns the inverse of the beta cumulative probability density function.
If probability = beta_cdf(x,…), then beta_inv(probability,…) = x.
The beta distribution can be used in project planning to model probable completion times given an expected completion time and variability.
Syntax
beta_inv(probability,alpha,beta)
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
| probability | int, long, or real | ✔️ | A probability associated with the beta distribution. |
| alpha | int, long, or real | ✔️ | A parameter of the distribution. |
| beta | int, long, or real | ✔️ | A parameter of the distribution. |
Returns
The inverse of the beta cumulative probability density function beta_cdf()
Examples
datatable(p:double, alpha:double, beta:double, comment:string)
[
0.1, 10.0, 20.0, "Valid input",
1.5, 10.0, 20.0, "p > 1, yields null",
0.1, double(-1.0), 20.0, "alpha is < 0, yields NaN"
]
| extend b = beta_inv(p, alpha, beta)
Output
| p | alpha | beta | comment | b |
|---|---|---|---|---|
| 0.1 | 10 | 20 | Valid input | 0.226415022388749 |
| 1.5 | 10 | 20 | p > 1, yields null | |
| 0.1 | -1 | 20 | alpha is < 0, yields NaN | NaN |
Related content
- For computing cumulative beta distribution function, see beta-cdf().
- For computing probability beta density function, see beta-pdf().
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