Use this probability or sampling tool to compute a stated quantity or generate reproducible draws from a precisely parameterized distribution or stochastic model.

Shape

Required number input.

Scale

Required number input.

Sample count

Required integer input.

Seed

Required string input.

Generate reproducible gamma-distributed samples from a positive shape and scale. The tool evaluates the supplied inputs together and returns the named outputs below; it does not infer omitted operating conditions or change the units shown.^[1]

Gamma samples

The resulting gamma samples returned as a list.

• Results depend on parameterization, support, random source, seed, convergence, burn-in, autocorrelation, proposal quality, normalization, numerical tails, and whether model assumptions match the process. Samples are not exact evidence of convergence.
• Use finite inputs in the displayed units and preserve more precision than the final presentation requires. Independently verify safety-critical, financial, compliance, or production decisions.

Check analytic moments or known test cases, use independent chains and diagnostics for Monte Carlo methods, report seed and effective sample size, and inspect tail behavior.

• Beta Distribution Sampler

  Generate reproducible beta-distributed values from two gamma variates.

• Chi-Square Distribution Sampler

  Sample chi-square variates as gamma(shape=df/2, scale=2) with positive degrees of freedom.

• Normal Distribution Box-Muller Sampler

  Generate reproducible normally distributed samples with the Box-Muller transform.