@formant/ava
Version:
A framework for automated visual analytics.
17 lines (16 loc) • 718 B
TypeScript
/**
* Normal distribution quantile function
* - Reference to equation 26.2.23 in https://personal.math.ubc.ca/~cbm/aands/abramowitz_and_stegun.pdf
* - If F(x) is the cumulative distribution function of a normal distribution N(mu, sigma), F(x) = p, quantile(p, mu, sigma) = x.
* - The value range of p is [0, 1]. If p > 1 or p < 0, return NaN.
* @param p input value
* @param mu mean
* @param sigma standard deviation
* */
export declare const normalDistributionQuantile: (p: number, mu?: number, sigma?: number) => number;
/**
* student's t distribution quantile function
* @param p probability
* @param v degree of freedom
*/
export declare const tDistributionQuantile: (p: number, d?: number) => number;