Modern Industrial Statistics: The Design and Control of Quality and Reliability / Edition 1

Modern Industrial Statistics: The Design and Control of Quality and Reliability / Edition 1

by Ron Kenett
     
 

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ISBN-10: 0534353703

ISBN-13: 2900534353703

Pub. Date: 01/20/1998

Publisher: Cengage Learning

With its full integration of MINITAB™ and S-PLUS throughout, this book presents the most modern methods available in industrial statistics today. The authors show how to utilize the computer as an indespensible tool in solving statistical problems applied to industry. Students interested in becoming production and operations managers, quality managers,

Overview

With its full integration of MINITAB™ and S-PLUS throughout, this book presents the most modern methods available in industrial statistics today. The authors show how to utilize the computer as an indespensible tool in solving statistical problems applied to industry. Students interested in becoming production and operations managers, quality managers, engineers, and engineering consultants will also welcome the authors' inclusion of reliability, bootstrapping and resampling along with many real-world examples from industry in every chapter.
Kenett and Zacks combine substantial experience in teaching industrial statistics courses with their background as consultants to industry. The result is the most practical, comprehensive, and fully-computer-integrated text available for industrial engineering and quality control courses available today.

Product Details

ISBN-13:
2900534353703
Publisher:
Cengage Learning
Publication date:
01/20/1998
Edition description:
BK&CD ROM
Pages:
610

Table of Contents

Part I: Principles of Statistical Thinking and Analysis. 1. The Role of Statistical Methods in Modern Industry. 2. Understanding Variability. 3. Variability in Several Dimensions. 4. Basic Models of Probability and Distribution Functions. 5. Sampling For Estimation of Finite Population Quantities. 6. Parametric Statistical Inference. 7. Distribution-Free Inference: Computer Intensive Techniques. 8. Multiple Linear Regression and Analysis Of Variance. Part II: Methods of Industrial Statistics. 9. Sampling Plans For Product Inspection. 10. Basic Tools and Principles of Statistical Process Control. 11. Advanced Methods of Statistical Process Control. 12. Classical Design and Analysis of Experiments. 13. Quality by Design. 14. Reliability Analysis. References. Appendix I: Review Of Matrix Algebra For Statistics With MINITAB Computations. Appendix II: Simulators. Appendix III: Basic Information On Data Files And Software. Appendix IV: Detailed Information On Data Files. Appendix V: Detailed Information On Basic Executable Files And MINITAB Macros. Appendix VI: S-Plus Procedures. Appendix VII: Solutions. Appendix VIII: Basic MINITAB Operations And Commands. Appendix IV: List Of Abbreviations. Appendix X: The Greek Alphabet. Index.

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