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Statistical Quality Control
90% of respondents would recommend this to a friend
NIO 7783
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The Seventh Edition of Introduction to Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement.
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What Stands Out
Detalles de producto
- Comprehensive treatment of statistical methodology for quality control and improvement
- Presentation of traditional and modern methods, including state-of-the-art techniques
- Focus on DMAIC (define, measure, analyze, improve, and control) problem-solving strategy
- Inclusion of new examples, exercises, problems, and techniques
- Suited for upper-division students in engineering, statistics, business, and management science
- Ideal for students in graduate courses
| Publisher | Wiley |
| Publication date | June 19, 2012 |
| Edition | 7th |
| Language | English |
| Print length | 768 pages |
| ISBN-10 | 9781118146811 |
| ISBN-13 | 978-1118146811 |
| Item Weight | 3.2 pounds (1.45 kg) |
| Dimensions | 8 x 1.3 x 10.1 inches (20.3 x 3.3 x 25.7 cm) |
Who Should Buy?
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Quality Assurance Professionals
This book provides essential methodologies and tools for professionals focused on maintaining and improving quality standards.
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Students of Statistics
Ideal for students learning statistical methods, offering practical applications that enhance understanding of quality control principles.
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Industry Practitioners
Useful for engineers and managers implementing quality control processes in manufacturing and service sectors.
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Casual Readers
Individuals looking for light reading or general knowledge may find the content too technical and specialized.
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Quality Control Editorial Review
The Statistical Quality Control 7th Edition book has received a mix of positive and negative reviews from customers. While some customers appreciate the fact that the book is in excellent condition with no writing and a well-maintained cover, others have expressed dissatisfaction with its content. One reviewer mentioned that the book is mainly a collection of various points raised over the years, and it lacks clear indications for certain topics. For example, the reviewer points out that there is no indication of what percentage of gauge variance to total variance is Considered adequate or good in the field of Gauge R&R variance component analysis. This suggests that the book may not provide comprehensive guidance in some areas. Another common criticism of the book is its high price. Although customers acknowledge the book's necessity for their college courses, they find it overpriced compared to other options available in the market. Furthermore, some reviewers expressed difficulty in understanding the content of the book. They found the writing style and explanations to be complex and geared towards individuals who already have knowledge of the subject. Several exercises in the book also referenced concepts that were not covered in the respective chapters, making it challenging for readers to follow along. Overall, the Statistical Quality Control 7th Edition book teaches valuable concepts, but its difficulty level may pose a challenge for readers without a strong math background. Many customers feel that the book could be improved with simpler explanations and more relatable images.
Customer Reviews & Ratings
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5 estrella
66%
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4 estrella
17%
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3 estrella
11%
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2 estrella
3%
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1 estrella
3%
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ventajas
- Good physical condition, no writing on the book
- Covers various points in the field of statistical quality control
Contras
- Lack of clear indications or guidelines in certain topics
Product Price History
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NIO 7783
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características y beneficios
- Comprehensive treatment of statistical methodology for quality control and improvement
- Includes both traditional and modern methods
- Covers state-of-the-art techniques for statistical process monitoring and control
- Includes statistically designed experiments for process characterization, optimization, and process robustness studies
- Focuses on DMAIC (define, measure, analyze, improve, and control) problem-solving strategy
- Suitable for upper-division students in engineering, statistics, business, and management science
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