Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function of statisticians in quality improvement. It discusses statistical process control, quality statistical tables, and quality and warranty; quality standards in medicine and public health; Taguchi robust designs and survival models; and more.

Donald Owen's contributions to the statistics of quality; the quality of movement: where it stands and the role of statisticians in its future; a sequential test of some process capability indices; calibration of gasoline flow meters; some aspects of Hotelling's T2 statistic for multivariate quality control; magnetic field quality investigations for superconducting supercollider magnets; real experiments, real mistakes, real learning!; Taguchi's robust design and some alternatives; determining optimum settings of explanatory variables and measuring influence of observations in multiresponse experiments; developing measurement for experimentation; kattice squares; marginally and conditionally specified multivariate survival models: a survey; moments and wavelets in signal estimation; hierarchical Bayes models in contextual spatial classification; asymmetry and outlier detection using correspondence analysis; concrete statistics; numerical methods for use in preparing high-quality statistical tables; modelling quality standards with decision analysis in medicine and public health; quality and warranty: sensitivity of warranty cost models to distributional assumptions; on semiparametric estimation of a probability density; improving survey estimates using rotation design sampling; multicriteria optimization in sampling design.