_ALL_METHODS_ = ["Excess", "Means", "EMD", "KDE"]

# adjust_excess = False

# ci_method = "bca"  # ["bca", "experimental", "stderr", "centile", "jeffreys"]
# normal : asymptotic normal approximation
# agresti_coull : Agresti-Coull interval
# beta : Clopper-Pearson interval based on Beta distribution
# wilson : Wilson Score interval
# jeffreys : Jeffreys Bayesian Interval
# binom_test : experimental, inversion of binom_test
# http://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportion_confint.html

# correct_bias = False  # Flag to use bias correction: corrected = 2 * pe_point - mean(pe_boot)
# kernels = ['gaussian', 'tophat', 'epanechnikov', 'exponential', 'linear', 'cosine']
