Modern robust data analysis methods: measures of central tendency.

By Rand R. Wilcox. 2003

510 citations recorded by the source corpus.

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In Statistics and Probability

Citations in the corpus

High-Confidence Off-Policy Evaluation (2015, methodology): “Our approach for collapsing the tails of the distributions and then bounding the means of the new distributions is similar to bounding the truncated mean and is a form of Winsorization (Wilcox and Keselman 2003).”
Individual differences in executive functions are almost entirely genetic in origin. (2008, methodology): “…tendency for each condition in the tasks using RT difference scores, we applied a within-subject trimming procedure that is robust to nonnormality (Wilcox & Keselman, 2003): For each participant, observations that deviated from the median by more than 3.32 times the median absolute deviation in…”
Confidence Interval Coverage for Cohen's Effect Size Statistic (2006, background): “…to parameters estimated by robust statistics are more valid than inferences pertaining to parameters such as the mean and variance when dealing with populations that are nonnormal (e.g., Hampel, Ronchetti, Rousseeuw, & Stahel, 1986; Huber, 1981; Staudte & Sheather, 1990; Wilcox & Keselman, 2003).”
Counting with the Crowd (2012, unknown): “Our use of a λ cutoff at which θ i becomes 0 comes from the literature on statistics that are robust to outliers, in particular trimmed means [23].”
Why Psychologists Should by Default Use Welch's t-test Instead of Student's t-test with Unequal Group Sizes (2017, methodology): “Yuen’s t-test, also called “20 percent trimmed means test”, is an extension of Welch’s t-test and is allegedly more robust in case of non-normal distributions (Wilcox & Keselman, 2003).”