Сравнение методов

	Контрольная карта EWMA	Контрольные карты для атрибутивных данных (p, np, c, u)	Контрольная карта Шухарта для переменных (X-среднее / R)
Область	Статистика	Статистика	Статистика
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Год появления	1959	1931	1931
Автор метода	S. W. Roberts	Walter A. Shewhart	Walter A. Shewhart
Тип	Statistical process control chart for small shifts	Statistical process control charts for count/proportion data	Statistical process control chart for variables
Основополагающий источник	Roberts, S. W. (1959). Control chart tests based on geometric moving averages. Technometrics, 1(3), 239–250.	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. D. Van Nostrand Company. ISBN: 978-0-87389-076-2	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. D. Van Nostrand Company. ISBN: 978-0-87389-076-2
Другие названия	exponentially weighted moving average chart, EWMA control chart, geometric moving average chart, EWMA kontrol kartı	p-chart, np-chart, c-chart, u-chart	X-bar and R chart, Shewhart chart, variables control chart, process control chart
Связанные	3	4	4
Сводка	The exponentially weighted moving average (EWMA) control chart, introduced by S. W. Roberts in 1959, monitors a process using a weighted average that gives the most recent observation the greatest weight while letting older observations fade geometrically. Like CUSUM, this memory makes it highly effective at detecting small, sustained shifts in the process mean, with a single smoothing parameter λ controlling how much past information the chart retains.	Attributes control charts extend Shewhart's framework to count and proportion data — quality characteristics that are classified rather than measured. The p- and np-charts monitor the proportion or number of defective items using the binomial distribution, while the c- and u-charts monitor the number of defects per unit using the Poisson distribution. They are the standard statistical-process-control tools when inspection yields pass/fail or defect counts rather than continuous measurements.	The Shewhart control chart, invented by Walter Shewhart at Bell Labs in the 1920s and set out in his 1931 book, is the foundational tool of statistical process control. It plots a process statistic — typically the subgroup mean (X-bar) and range (R) — over time against a center line and three-sigma control limits, distinguishing the natural common-cause variation inherent in a stable process from special-cause variation that signals something has changed and warrants investigation.