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Title: Statistical Methods for Six Sigma in R&D and Manufacturing
Statistical Methods for Six Sigma in R&D and Manufacturing
By: Anand M. Joglekar
ISBN: 978 0471 20342 1
Publisher: John Wiley & Sons
Copyright: 2003
Page Count: 336
Trim Size: 7 x 10
Format: Hardcover
Catalog #: 03936
Status: Normally in stock
List Price: $112.50
Our Price: $98.50
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Keywords associated with this title: Six Sigma Methodologies
Statistical Methods

 

This book aims to provide a guide to achieving business success through the use of statistical methods. It covers a large number of useful statistical methods compactly, in a language and depth necessary to enable the reader to utilize the techniques in successful applications. In addition to the myriad of statistical techniques described, the text contains a wealth of case studies and examples, and features a unique test to evaluate the reader's understanding of the subject. Practical and applications-oriented; recommended.

 

From the Preface: “...This book on the applications of statistical methods is specifically written for technical professionals in industry. This community of bright and busy individuals is typically short on time but generally willing to learn useful methods in order to quickly and effectively solve practical problems. ..[T]his book does not presume any prior knowledge of statistics. It includes many practical applications...[it] can also be used as a text for an engineering-statistics course or a quality-engineering course for seniors and first year graduate students. It should help provide university students with a much-needed connection between statistical methods and industrial problem solving...”

 

Target Audience: Professionals and students in research, development, quality and manufacturing.

 

Table of Contents:

 

Introduction

Basic Statistics

Comparative Experiments and Regression Analysis

Control Charts

Process Capability

Other Useful Charts

Variance Components Analysis

Quality Planning with Variance Components

Measurement Systems Analysis

What Color Is Your Belt?

Appendices

Index

 

Primary Topic: QA/QC, Statistics, and Testing
Related Topics: Experimental Design and Analysis
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