 The One-Sample CaseRand R. Wilcox
Chapter Chapter 2 in A Guide to Robust Statistical Methods, 2023, pp 25-53 from Springer Abstract: Abstract As explained in Chap. 1 , outliers are a serious concern when using the sample mean. This chapter describes two basic strategies for dealing with outliers and indicates how to compute an estimate of the standard error that is technically sound. This is followed by a description of inferential methods based on these measure of location, including a discussion of their relative merits. Some methods aimed at measuring effect size are described, some of which provide a foundation for understanding certain measures of effect size covered in Chap. 3 . Included are some recent results related to the probability of success when dealing with binary data that will help complement some of the methods described in subsequent chapters. This chapter also discusses methods aimed at estimating quantiles. As will be illustrated in Chap. 3 , situations are encountered where important differences between two groups occur in the tails of the distributions rather than the center of the distributions. The quantile estimators described here will play a role in addressing this issue. Some issues related to skewed distributions are discussed as well. Date: 2023 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-41713-9_2 Ordering information: This item can be ordered from DOI: 10.1007/978-3-031-41713-9_2 Access Statistics for this chapter More chapters in Springer Books from Springer |
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