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Full Description
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.
Contents
The Background of Configural Polysampling: A Historical Perspective (M. Cohen); Key Ideas and Outline (S. Morgenthaler & J. Tukey); Point Estimation: Location-and-Scale Configurations (K. Krystinik & S. Morgenthaler); Compromises in the Face of Two Situations (K. Krystinik); Point Estimation of Location: Criticism and Improvement (K. Krystinik & S. Morgenthaler); Point Estimation of Location: Technical Choices (S. Morgenthaler & J. Tukey); Conditional Confidence Intervals for a Location Parameter (S. Morgenthaler); Confidence Intervals for a Scale Parameter (S. Morgenthaler); Regression (F. O'Brien); Location Compromise Maximum Likelihood Estimators (G. Easton); Examples (S. Morgenthaler); Appendix; Index.