One-Sample Problems Introduction Location Model Geometry and Inference in the Location Model Examples Properties of Norm-Based Inference Robustness Properties of Norm-Based Inference Inference and the Wilcoxon Signed-Rank Norm Inference Based on General Signed-Rank Norms Ranked Set Sampling L1 Interpolated Confidence Intervals Two-Sample Analysis Two-Sample Problems Introduction Geometric Motivation Examples Inference Based on the Mann-Whitney-Wilcoxon General Rank Scores L1 Analyses Robustness Properties Proportional Hazards Two-Sample Rank Set Sampling (RSS) Two-Sample Scale Problem Behrens-Fisher Problem Paired Designs Linear Models Introduction Geometry of Estimation and Tests Examples Assumptions for Asymptotic Theory Theory of Rank-Based Estimates Theory of Rank-Based Tests Implementation of the R Analysis L1 Analysis Diagnostics Survival Analysis Correlation Model High Breakdown (HBR) Estimates Diagnostics for Differentiating between Fits Rank-Based Procedures for Nonlinear Models Experimental Designs: Fixed Effects Introduction One-Way Design Multiple Comparison Procedures Two-Way Crossed Factorial Analysis of Covariance Further Examples Rank Transform Models with Dependent Error Structure Introduction General Mixed Models Simple Mixed Models Arnold Transformations General Estimating Equations (GEE) Time Series Multivariate Multivariate Location Model Componentwise Spatial Methods Affine Equivariant and Invariant Methods Robustness of Estimates of Location Linear Model Experimental Designs Appendix: Asymptotic Results References Index
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