Statistics of quality
Author(s)
Bibliographic Information
Statistics of quality
（Statistics : textbooks and monographs, v. 153）
CRC Press, 2019, c1997
- : pbk
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Note
"Dedicated to the memory of Donald B. Owen"
Includes bibliographical references and index
Description and Table of Contents
Description
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.
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.
by "Nielsen BookData"
