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# scipy.special.ncfdtrinc

scipy.special.ncfdtrinc(dfn, dfd, p, f, out=None) = <ufunc 'ncfdtrinc'>

  Calculate non-centrality parameter for non-central F distribution.

  This is the inverse with respect to nc of `ncfdtr`. See `ncfdtr` for more details.

  Parameters:
    dfnarray_like

      Degrees of freedom of the numerator sum of squares. Range (0, inf).

    dfdarray_like

      Degrees of freedom of the denominator sum of squares. Range (0, inf).

    parray_like

      Value of the cumulative distribution function. Must be in the range [0, 1].

    farray_like

      Quantiles, i.e., the upper limit of integration.

    outndarray, optional

      Optional output array for the function results

  Returns:
    ncscalar or ndarray

      Noncentrality parameter.

  See also

  `ncfdtr`

    CDF of the non-central F distribution.

  `ncfdtri`

    Quantile function; inverse of `ncfdtr` with respect to f.

  `ncfdtridfd`

    Inverse of `ncfdtr` with respect to dfd.

  `ncfdtridfn`

    Inverse of `ncfdtr` with respect to dfn.

  Examples

      >>> from scipy.special import ncfdtr, ncfdtrinc

  Compute the CDF for several values of nc:

      >>> nc = [0.5, 1.5, 2.0]
      >>> p = ncfdtr(2, 3, nc, 15)
      >>> p
      array([ 0.96309246,  0.94327955,  0.93304098])

  Compute the inverse. We recover the values of nc, as expected:

      >>> ncfdtrinc(2, 3, p, 15)
      array([ 0.5,  1.5,  2. ])