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A quality control chart based on Exponentially Weighted Moving Average (EWMA) is useful for detecting smaller shifts in parameters. EWMA control charts are better alternatives to the Shewhart mean and range chart to monitor mean and variability. The combination of EWMA mean and EWMA variance chart will detect smaller shifts in mean and variance much faster. This monograph is designed for SPC researchers, students and mentors working in the field of SPC. It is also helpful for professionals, engineers, statisticians, managers and practitioners in quality control.

Produktbeschreibung
A quality control chart based on Exponentially Weighted Moving Average (EWMA) is useful for detecting smaller shifts in parameters. EWMA control charts are better alternatives to the Shewhart mean and range chart to monitor mean and variability. The combination of EWMA mean and EWMA variance chart will detect smaller shifts in mean and variance much faster. This monograph is designed for SPC researchers, students and mentors working in the field of SPC. It is also helpful for professionals, engineers, statisticians, managers and practitioners in quality control.
Autorenporträt
Author of the book is Associate Professor in statistics, The New college, Kolhapur. Maharashtra, INDIA.Co-Author of the book is Assistant Professor, KVP Mahavidhyalaya, Kavathemahankal, Sangli,Maharashtra, INDIA.