winsorized mean การใช้

The winsorized mean uses more information from the distribution or sample than the median.
However, unless the underlying distribution is symmetric, the winsorized mean of a sample is unlikely to produce an unbiased estimator for either the mean or the median.
The winsorized mean is a useful estimator because it is less sensitive to outliers than the mean but will still give a reasonable estimate of central tendency or mean for almost all statistical models.
A "'winsorized mean "'is a sample at the high and low end with the most extreme remaining values, typically doing so for an equal amount of both extremes; often 10 to 25 percent of the ends are replaced.
A more detailed list of examples includes : with a single point, the maximum, the minimum, or any single order statistic or quantile; with one or two points, the median; with two points, the mid-range, the trimmed mid-range, including the midhinge ), and the trimmed range ( including the interquartile range and interdecile range ); with three points, the trimean; with a fixed fraction of the points, the trimmed mean ( including interquartile mean ) and the Winsorized mean; with all points, the mean.