/**
 * Shared RNG-driven Gamma / standard-normal variate generators.
 *
 * Extracted so the distribution objects (`typed/dist-objects.ts`) and the
 * multivariate samplers (`stats/multivariate-sampling.ts`) share ONE
 * Marsaglia & Tsang gamma implementation rather than each carrying a copy.
 */
/**
 * Standard normal N(0,1) variate via Box-Muller, driven by a caller-supplied
 * uniform PRNG (so seeded draws are reproducible). Guards `log(0)`.
 */
export declare function normalSampleRng(rng: () => number): number;
/**
 * Gamma(alpha, 1) variate (shape `alpha`, unit scale) via Marsaglia & Tsang's
 * method, driven by a caller-supplied uniform PRNG. For `alpha < 1` it uses the
 * boosting identity `Gamma(a) = Gamma(a+1)·U^(1/a)`.
 */
export declare function gammaSampleRng(alpha: number, rng: () => number): number;
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