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Statistical Quality Control Methods by Irving W. Burr (Purdue University, West Lafayette, Indiana Purdue University, West Lafayette, Indiana, USA) at Abbey's Bookshop,
Statistical Quality Control Methods
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Irving W. Burr (Purdue University, West Lafayette, Indiana Purdue University, West Lafayette, Indiana, USA)

Statistical Quality Control Methods

Irving W. Burr (Purdue University, West Lafayette, Indiana Purdue University, West Lafayette, Indiana, USA)

$120

Paperback

Not in-store but you can order this
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English
CRC Press
30 June 2020
Probability & statistics
Series: Statistics: A Series of Textbooks and Monographs
This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are also of great use in areas such as laboratory analyses and research. The problems and examples presented are from actual cases encountered in the industry.
By:  
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   453g
ISBN:   9780367452100
ISBN 10:   0367452103
Series:   Statistics: A Series of Textbooks and Monographs
Pages:   532
Publication Date:  
Audience:   College/higher education ,  Primary
Format:   Paperback
Publisher's Status:   Active
1. Introduction 2. Brief Review of Statistical Background 3. Control Charts in General 4. Control Charts for Measurements 5. Background of Control Charts for Measurements 6. Control Charts for Attributes 7. Miscellaneous Topics in Control Charts 8. Applications of Control Charts 9. Acceptance Sampling by Attributes 10. Some Standard Plans for Attributes 11. Acceptance Sampling by Measurements 12. Sequential Analysis 13. Some Other Sampling Plans 14. Statistics of Combinations, Tolerances for Mating Parts 15. Some Other Frequency Distributions

Martorell, Sebastián; Guedes Soares, Carlos; Barnett, Julie

Reviews for Statistical Quality Control Methods

. . .Professor Burr expertly blends the statistical concepts for each subject with actual case histories to clearly illustrate the major points of each discussion. ---Industrial Engineering . . .Students and lecturers will find invaluable the numbers real-life examples and good practical advice. ---Australian Journal of Statistics


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