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ProvSQL C/C++ API
Adding support for provenance and uncertainty management to PostgreSQL databases
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Weibull(k, λ) family implementation: shape k > 0, scale λ > 0 (the 63.2% quantile – NOT a rate; k = 1 is Exponential with rate 1/λ, and the SQL constructor routes that case through exponential).
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#include "DistributionCommon.h"#include <algorithm>#include <cmath>#include <memory>#include <optional>#include <random>#include <string>#include <utility>#include <vector>
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| namespace | provsql |
Weibull(k, λ) family implementation: shape k > 0, scale λ > 0 (the 63.2% quantile – NOT a rate; k = 1 is Exponential with rate 1/λ, and the SQL constructor routes that case through exponential).
The workhorse of reliability / survival analysis: k tunes the hazard (infant mortality for k < 1, wear-out for k > 1). \((X/\lambda)^k\) is a unit exponential, which gives an exact quantile, a same-shape comparator closed form, closed-form truncated moments through the regularised incomplete gamma, and a min-stability order statistic (the min of n i.i.d. Weibulls is Weibull at scale \(\lambda n^{-1/k}\)).
Self-contained family implementation: the class is file-local and reaches the evaluators only through the registrars at the bottom.
Definition in file weibull.cpp.