Probability Limits of X-Bar Chart for Non-normal Distribution: Quality Control Chart for Sample Mean with Non-Normal Distribution
Product ID: 301157685
📊Advanced control limits for non-normal data
📏Precise statistical modeling with skewness & kurtosis
📚Comprehensive 284-page deep dive
₨5310
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Description
📈 Elevate your quality control game with smarter, skew-aware charts!
- OPTIMIZE QUALITY CONTROL - Leverage gamma distribution insights for real-world product life data
- QUANTIFY SKEWNESS KURTOSIS - Tailor control limits with advanced statistical parameters
- BOOST MANUFACTURING PRECISION - Reduce errors by applying probability limits for skewed data
- MASTER NON NORMAL DISTRIBUTIONS - Unlock accurate control charts beyond normality assumptions
- ACADEMIC RIGOR MEETS PRACTICAL USE - 284 pages of actionable research for quality managers
This 284-page paperback offers a rigorous approach to improving Shewhart control charts by incorporating probability limits tailored for non-normal distributions, specifically gamma distributions common in product life data. It emphasizes adjusting control limits based on skewness and kurtosis, enabling manufacturers and quality managers to achieve more accurate process monitoring and reduce errors in quality control.
Specifications
| Dimensions | 15.01 x 1.63 x 22 cm |
| ISBN-10 | 3659350001 |
| ISBN-13 | 978-3659350009 |
| Item weight | 370 g |
| Language | English |
| Print length | 284 pages |
| Publisher | LAP LAMBERT Academic Publishing |
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