Gamma
Gamma()Gamma distribution parameterized by shape alpha and rate beta.
Attributes
| Name | Description |
|---|---|
| mean | Expected value. |
| support | Distribution support. |
| variance | Variance. |
| x_range | Practical plotting range. |
Methods
| Name | Description |
|---|---|
| cdf | Cumulative distribution function. |
| elicit | Elicit a gamma distribution from waiting-time parameters. |
| fit | Fit a gamma distribution to positive observations. |
| Probability density function. | |
| ppf | Percent point function / inverse CDF. |
| sample | Generate random samples. |
| validate_params | Validate alpha and beta parameters. |
cdf
Gamma.cdf(x)Cumulative distribution function.
elicit
Gamma.elicit(k, rate, name=None)Elicit a gamma distribution from waiting-time parameters.
Models the waiting time for k events to occur at rate events per unit time. The resulting distribution has mean k / rate and variance k / rate**2.
fit
Gamma.fit(data, name=None)Fit a gamma distribution to positive observations.
Gamma.pdf(x)Probability density function.
ppf
Gamma.ppf(q)Percent point function / inverse CDF.
sample
Gamma.sample(size=1, *, seed=None)Generate random samples.
validate_params
Gamma.validate_params(params)Validate alpha and beta parameters.