Probabilities.BetaCDFInv Method

Overload List

#SignatureDescription
1void BetaCDFInv(TDenseMtxVec P, Double A, Double B, TDenseMtxVec Res)Beta PPF (vectorized).
2Double BetaCDFInv(Double p, Double a, Double b)Beta distribution inverse CDF (quantile / point percent function, PPF).

Overload 1: void BetaCDFInv(TDenseMtxVec P, Double A, Double B, TDenseMtxVec Res)

Beta PPF (vectorized).

#NameDescription
1PDefines distribution probabilities, real vector or matrix with values within closed interval [0,1].
2ADistribution scale parameter, real positive value.
3BDistribution shape parameter, real positive value.
4ResAfter calculation stores the PPF calculated from P, A and B. Length and Complex properties of Res are adjusted automatically to match Length and Complex properties of X.

Result: stored in self (calling object)

Overload 2: Double BetaCDFInv(Double p, Double a, Double b)

Beta distribution inverse CDF (quantile / point percent function, PPF).

#NameDescription
1pProbability, real value on the closed interval [0,1].
2aFirst shape parameter, real value > 0.
3bSecond shape parameter, real value > 0.

Returns: Double - the value x with BetaCDF(x,a,b)=p for shape parameters a and b. Returns NAN when p < 0, p > 1, a <= 0 or b <= 0; returns p itself at p=0 and p=1.

Remarks:

Computes the inverse of the beta CDF (the quantile function)

inverse CDF(p|a,b) = F^(-1)(p|a,b) , p(x)=CDF(x|a,b)

evaluated by a Newton-Raphson iteration on I_x(a,b)-p. Domain: p in [0,1], a > 0, b > 0. Behaviour: at p=0 returns 0 and at p=1 returns 1; for invalid parameters or p not in [0,1] returns NAN.

See Also: Probabilities.BetaPDF, Probabilities.BetaCDF