statsmodels.stats.robust_compare.TrimmedMean

class statsmodels.stats.robust_compare.TrimmedMean(data, fraction, is_sorted=False, axis=0)

class for trimmed and winsorized one sample statistics

axis is None, i.e. ravelling, is not supported

Attributes:

data_trimmed

data_winsorized

winsorized data

mean_trimmed

mean of trimmed data

mean_winsorized

mean of winsorized data

std_mean_trimmed

standard error of trimmed mean

std_mean_winsorized

standard error of winsorized mean

var_winsorized

variance of winsorized data

Methods

reset_fraction(frac)	create a TrimmedMean instance with a new trimming fraction
ttest_mean([value, transform, alternative])	One sample ttest for trimmed or Winsorized mean

Properties

data_trimmed
data_winsorized	winsorized data
mean_trimmed	mean of trimmed data
mean_winsorized	mean of winsorized data
std_mean_trimmed	standard error of trimmed mean
std_mean_winsorized	standard error of winsorized mean
var_winsorized	variance of winsorized data