نتایج جستجو برای: exponentially weighted moving average
تعداد نتایج: 580765 فیلتر نتایج به سال:
Shewhart, exponentially weighted moving average (EWMA), and cumulative sum (CUSUM) charts are famous statistical tools, to handle special causes and to bring the process back in statistical control. Shewhart charts are useful to detect large shifts, whereas EWMA and CUSUM are more sensitive for small to moderate shifts. In this study, we propose a new control chart, named mixed CUSUM-EWMA chart...
The main goal of this paper is to study Statistical Process Control (SPC) with Exponentially Weighted Moving Average (EWMA) control chart when observations are seriallycorrelated. The characteristic of control chart is Average Run Length (ARL) which is the average number of samples taken before an action signal is given. Ideally, an acceptable ARL of in-control process should be enough large, s...
This paper proposes new nonparametric hybrid exponentially weighted moving average (HEWMA) control charts based on simple random sampling (SRS) and ranked set (RSS) techniques using the Wilcoxon rank-sum W statistic. The in-control robustness out-of-co...
Abstract Risk‐adjusted control charts have been widely used in monitoring surgical quality detecting risks of performance. Most the previous approaches focus on shifts location parameter as well existence scale parameter, which cannot get full measure under different levels. Ignoring magnitude methods detect variations mortality that is measured by and required to reflect improvement. The metho...
A plethora of academic papers on generalized autoregressive conditional heteroscedasticity (GARCH) models for bitcoin and other cryptocurrencies have been published in journals. Yet few, if indeed any, these are employed by practitioners. Previous studies produce results that fragmented, confusing conflicting, so there is no commercial incentive to drive an expensive implementation complex mult...
One of the most powerful tools in quality control is the statistical control chart. First developed in the 1920's by Walter Shewhart, the control chart found widespread use during World War II and has been employed, with various modifications ever since. The drawbacks to multivariate charting schemes is their inability to identify which variable was the source of the signal. The multivariate ex...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید