def expected_jk_variance(K):

    kf = float(K)
    return ((1 / kf) * (kf - 1) / (kf - 0.5) *
            ((kf - 1) / (kf - 2)) ** 2 * (kf - 3) / (kf - 2))
Compute the expected value of the jackknife variance estimate
dataset/ETHPy150Open nipy/nitime/nitime/utils.py/expected_jk_variance