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cdfbet — cumulative distribution function Beta distribution
[P,Q]=cdfbet("PQ",X,Y,A,B)
[X,Y]=cdfbet("XY",A,B,P,Q)
[A]=cdfbet("A",B,P,Q,X,Y)
[B]=cdfbet("B",P,Q,X,Y,A)
| P,Q,X,Y,A,B | : five real vectors of the same size. |
| P,Q (Q=1-P) | : The integral from 0 to X of the beta distribution (Input range: [0, 1].) |
| Q | : 1-P |
| X,Y (Y=1-X) | : Upper limit of integration of beta density (Input range: [0,1], Search range: [0,1]) A,B : The two parameters of the beta density (input range: (0, +infinity), Search range: [1D-300,1D300] ) |
Calculates any one parameter of the beta distribution given values for the others (The beta density is proportional to t^(A-1) * (1-t)^(B-1).
Cumulative distribution function (P) is calculated directly by code associated with the following reference.
DiDinato, A. R. and Morris, A. H. Algorithm 708: Significant Digit Computation of the Incomplete Beta Function Ratios. ACM Trans. Math. Softw. 18 (1993), 360-373.
Computation of other parameters involve a seach for a value that produces the desired value of P. The search relies on the monotinicity of P with the other parameter.
From DCDFLIB: Library of Fortran Routines for Cumulative Distribution Functions, Inverses, and Other Parameters (February, 1994) Barry W. Brown, James Lovato and Kathy Russell. The University of Texas.
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