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Statistical Quality Control Methods de Irving W. Burr

Statistical Quality Control Methods: Statistics: A Series of Textbooks and Monographs

Autor Irving W. Burr
en Limba Engleză Hardback – feb 1976
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.
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Specificații

ISBN-13: 9780824763442
ISBN-10: 0824763440
Pagini: 536
Ilustrații: Illustrations
Dimensiuni: 178 x 254 x 32 mm
Greutate: 1.14 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Statistics: A Series of Textbooks and Monographs

Public țintă

Professional Practice & Development

Cuprins

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

Recenzii

". . .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

Notă biografică

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

Descriere

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.