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)).
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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)).