Trimming, Transforming Statistics, And Bootstrapping: Circumventing the Biasing Effects Of Heterescedasticity And Nonnormality
Author:
Affiliation:
1. University of Manitoba
2. University of Southern California
3. Universiti Sains, Malaysia
Publisher
Wayne State University Library System
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference40 articles.
1. Robustness?
2. Efficiency and robustness of hogg’s adaptive trimmed means
3. An invertible transformation two-sample trimmed t-statistic under heterogeneity and nonnormality
4. On the Number of Bootstrap Simulations Required to Construct a Confidence Interval
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