Provides a broad readership––both novice and advanced students and researchers––with a solid introduction to conditional thinking in a robust setting. Using a minimum of mathematics, it considers three types of parameters: location, scale and regression slopes. Recognizing their importance to performance evaluation, the book focuses on confrontations of a small number of suitably disparate shapes as well as on invariance.
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This is an introduction to conditional thinking in a robustness setting. The types of parameters considered are location, scale and regression slopes. The book focuses on confrontations of a small number of suitably disparate shapes as well as invariance. Invariance and confrontations are described at length because they withold the impact of prejudice and outside information until the data has been summarized, and also allow the evaluation of performance to be separated into quadrature and sampling.
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