William R. Schucany (ed.)

Statistics of Quality

Herausgeber: Ghosh, Subir; Smith, William B.; Schucany, William R.

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: CRC Press
• Seitenzahl: 452
• Erscheinungstermin: 26. September 1996
• Englisch
• Abmessung: 240mm x 161mm x 29mm
• Gewicht: 840g
• ISBN-13: 9780824797638
• ISBN-10: 0824797639
• Artikelnr.: 21467313

Autorenporträt

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

Inhaltsangabe

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.