import { Vector } from './vector.js';
/**
 * It calculates a value g based on the Shapiro-Wilk w statistic. This calculation differs depending on whether n (the sample size) is less than 12.
 * For smaller samples, it uses a different approximation that involves a logarithmic transformation of the w statistic.
 * The variables mu and sigma are calculated using a polynomial function of the sample size (n) or its logarithm (u).
 * These values are part of the approximation for the distribution of the w statistic.
 * It computes a standard score (z) by subtracting mu from g and dividing by sigma.
 * It creates an instance of StandardNormal to use its distr method, which should provide the cumulative distribution function for the standard normal distribution.
 * Finally, it calculates the p-value as one minus the cumulative distribution function value of z.
 */
export declare function shapiroWilk(vector: number[] | Vector): {
    w: number;
    p: number;
};
//# sourceMappingURL=normality.d.ts.map