A comparison of confidence intervals from<i>R</i>-estimators in regression

George, Karen; McKean, Joseph W.; Schucany, William R.; Sheather, Simon J.

doi:10.1080/00949659508811692

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Wilcoxon Analysis Of the Two-sample Location Model1

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Cited by 4 publications

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“…It is the estimator computed by RGLM and our Web-based software. A percentile t bootstrap version of this estimate is discussed in George et al (9).…”

Section: Wilcoxon Analysis Of the Two-sample Location Modelmentioning

confidence: 99%

Rank-Based Procedures for Linear Models: Applications to Pharmaceutical Science Data

et al. 2001

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Rank-based procedures for linear models generalize the simple Wilcoxon rank tests in the simple location models, inheriting their robustness and high efficiency properties.Given a general linear model, these rank-based procedures form a complete analysis, including estimation, conjidence, and multiple comparison procedures, and tests of general linear hypotheses. In this article, these ranked-based procedures are reviewed in the context of pharmaceutical science data. Examples involving ANOVA-and ANCOVAtype designs are considered in some detail. We further present a Web-based interface incorporating the statistical software R and RGLM for the computation of these procedures. As discussed, the user need only visit our Web site to compute these procedures.Taken together these rank-based procedures offer the user an efJicient and robust alternative to standard least squares procedures for linear models.

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“…It is the estimator computed by RGLM and our Web-based software. A percentile t bootstrap version of this estimate is discussed in George et al (9).…”

Section: Wilcoxon Analysis Of the Two-sample Location Modelmentioning

confidence: 99%