Statistical Methods for Engineers

Vining, G. Geoffrey

ISBN 10: 0534237061 / ISBN 13: 9780534237066

Edité par Duxbury Press, Pacific Grove, CA, 1998

A propos de cet article

Some shelf and corner wear. Text appears clean. Binding is tight and solid in very good condition. Looks Nice. Size: 25 cm + 1 computer disk (3. 479 pp. Quantity Available: 1. Shipped Weight: Under 1 kilo. Category: Engineering, Industrial, Trade; Engineering Statistical methods; ISBN: 0534237061. ISBN/EAN: 9780534237066. Dewey Code: 620/.0072 21. Pictures of this item not already displayed here available upon request. Inventory No: 1561006959.

N° de réf. du vendeur 1561006959

Détails bibliographiques

• Titre: Statistical Methods for Engineers
• Éditeur: Duxbury Press, Pacific Grove, CA
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 0534237061
• ISBN à 13 chiffres: 9780534237066
• Reliure: Hardcover
• Édition: Edition Unstated.
• État de l'article: Very Good
• État de la jaquette: No Dust Jacket
• Catalogues du vendeur:
  • Engineering, Industrial, Trade

A propos de ce titre

Synopsis

An introduction to engineering statistics, this text uses real engineering data, of real engineering cases and places emphasis on integrating the use of the computer. The discussion of concepts is integrated then used consistently throughout.

Présentation de l'éditeur

STATISTICAL METHODS FOR ENGINEERS, 3e, International Edition offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems with real data based on actual journals and consulting experience in the field, students see how statistics fits within the methods of engineering problem solving. The text teaches students how to think like an engineer at analyzing real data and planning a project the same way they will in their careers. Case studies simulate problems students will encounter professionally and tackle on long-term job projects. The presentation makes extensive use of graphical analysis, and use of statistical software is encouraged for problem-solving to illustrate how engineers rely on computers for data analysis. The authors relate their own extensive professional experience as engineers in short margin notes called Voice of Experience that lend valuable context to how students will apply concepts in the field and why they're important to learn. And a rich companion website provides hours of multimedia lecture presentation narrated by the authors to show the material related live by different voices, simulating how students will listen and learn from multiple colleagues in their jobs.