* Inverse of complemented Fisher distribution
*
* Finds the F density argument x such that the integral
* from x to infinity of the F density is equal to the
* given probability p.
*
* This is accomplished using the inverse beta integral
* function and the relations
*
* z = betaIncompleteInverse( df2/2, df1/2, p ),
* x = df2 (1-z) / (df1 z).
*
* Note that the following relations hold for the inverse of
* the uncomplemented F distribution:
*
* z = betaIncompleteInverse( df1/2, df2/2, p ),
* x = df2 z / (df1 (1-z)).
* Inverse of complemented Fisher distribution * * Finds the F density argument x such that the integral * from x to infinity of the F density is equal to the * given probability p. * * This is accomplished using the inverse beta integral * function and the relations * * z = betaIncompleteInverse( df2/2, df1/2, p ), * x = df2 (1-z) / (df1 z). * * Note that the following relations hold for the inverse of * the uncomplemented F distribution: * * z = betaIncompleteInverse( df1/2, df2/2, p ), * x = df2 z / (df1 (1-z)).