Engineering Statistics

Douglas C. Montgomery; George C. Runger; Norma F. Hubele

ISBN 10: 0471448540 / ISBN 13: 9780471448549

Edité par Wiley, 2003

Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G0471448540I3N00

Synopsis :

Concise and complete coverage of probability. Thorough coverage of regression modeling, design of engineering experiments, and statistical process control. Wide range of problem levels.

Quatrième de couverture: The same statistical tools that professional engineers depend on

With a strong emphasis on the statistical techniques most often used in engineering practice, Montgomery, Runger, and Hubele s ENGINEERING STATISTICS , presents all the key material that engineers need to know in a concise framework. All major aspects of engineering statistics are covered including descriptive statistics, probability and probability distributions, statistical tests and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control.

Revised and enhanced, the Third Edition presents an even better integration of probability and statistics into the overall engineering problem–solving process, including discussion and illustration of retrospective studies, observational studies, and designed experiments.

Highlight of the Third Edition

• Presents expanded coverage of functions of random variables, transmission of error, and measurement systems capability analysis important topics for all engineers.
• Coverage of data display and analysis features expanded use of graphics, including multivariate plots.
• Thoroughly revised coverage of regression, with an increased emphasis on Minitab, eliminates the need for matrix algebra.
• All examples and exercises, including many new to this edition, are based on real–world applications of statistics in engineering. Many feature real data from published sources.
• Provides unusually thorough, yet concise, coverage of regression modeling, design of engineering experiments, and statistical process control.
• Minitab is well integrated into the text and used for many example solutions.

All data sets are available in electronic form.

 

Détails bibliographiques

Titre : Engineering Statistics
Éditeur : Wiley
Date d'édition : 2003
Reliure : Hardcover
Etat : Good
Etat de la jaquette : No Jacket
Edition : 3ème Édition