| Author | : David .C. Drain |
| File Size | : 55,7 Mb |
| Publisher | : Unknown |
| Language | : English |
| Release Date | : 18 May 2024 |
| ISBN | : 1351414305 |
| Pages | : 476 pages |
Download or read online Statistical Methods for Industrial Process Control written by David .C. Drain, published by Unknown which was released on 2020. Get Statistical Methods for Industrial Process Control Books now! Available in PDF, ePub and Kindle.
Get BookTo practice engineering effectively, engineers must need to have a working knowledge of statistical concepts and methods. What they do not need is a background heavy on statistical theory and number crunching. Statistical Methods for Industrial Process Control provides the practical statistics foundation engineers can immediately apply to the work
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Download or read online Statistical Methods for Industrial Process Control written by David Drain, published by Unknown which was released on 1996. Get Statistical Methods for Industrial Process Control Books now! Available in PDF, ePub and Kindle.
Get BookDetailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Provides valuable insight into the T2 statistic.
Get BookA major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
Get BookThe first statistics guide focussing on practical application to process control design and maintenance Statistics for Process Control Engineers is the only guide to statistics written by and for process control professionals. It takes a wholly practical approach to the subject. Statistics are applied throughout the life of a process
Get BookGiven their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for
Get BookThis book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of
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