9780471159377-0471159379-Statistical Quality Assurance Methods for Engineers

Statistical Quality Assurance Methods for Engineers

ISBN-13: 9780471159377
ISBN-10: 0471159379
Edition: 1
Author: Stephen B. Vardeman, J. Marcus Jobe
Publication date: 1998
Publisher: Wiley
Format: Hardcover 576 pages
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Book details

ISBN-13: 9780471159377
ISBN-10: 0471159379
Edition: 1
Author: Stephen B. Vardeman, J. Marcus Jobe
Publication date: 1998
Publisher: Wiley
Format: Hardcover 576 pages

Summary

Statistical Quality Assurance Methods for Engineers (ISBN-13: 9780471159377 and ISBN-10: 0471159379), written by authors Stephen B. Vardeman, J. Marcus Jobe, was published by Wiley in 1998. With an overall rating of 3.8 stars, it's a notable title among other Management & Leadership (Mechanical, Engineering) books. You can easily purchase or rent Statistical Quality Assurance Methods for Engineers (Hardcover) from BooksRun, along with many other new and used Management & Leadership books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.53.

Description

The Tools You Need To Be A Successful Engineer As you read through this new text, you'll discover the importance of Statistical Quality Control (SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly." The rich set of examples and problems integrated throughout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them. This approach provides the mix of tools you'll need to succeed in your engineering career. Key Features of the Text
* Provides a coherent presentation of the role of statistics in quality assurance.
* Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader.
* Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets.
* The implementation of statistical tools is user-friendly.
* The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).

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