Statistics of Quality

by Subir Ghosh (Editor), William R. Schucany (Editor), William B. Smith (Editor)

Overview

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.

Product Details

ISBN-13:	9780367401207
Publisher:	Taylor & Francis
Publication date:	09/19/2019
Series:	Statistics: A Series of Textbooks and Monographs
Edition description:	Reprint
Pages:	456
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Subir Ghosh, William R. Schucany, William B. Smith

Table of Contents

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.

Editorial Reviews

A broad reference explaining how statistics can improve the collection and analysis of information for quality control in a wide variety of applications. Discusses statistical process control, quality and warranty, statistical tables, quality standards in medicine and public health, Taguchi robust designs, measurement for experimentation, multi-response experiments, signal estimation, survival models, contextual spatial classification, and other topics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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