An Economic Statistical Design of Double Multivariate Exponentially Weighted Moving Average (DMEWMA) Control Chart PDF Download
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Author: Aman Pannu
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 226
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Author: Aman Pannu
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 226
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Author: Wade Edward Molnau
Publisher:
ISBN:
Category : Quality control
Languages : en
Pages : 318
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Author: Kevin Wayne Linderman
Publisher:
ISBN:
Category :
Languages : en
Pages : 478
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Author: Chau-chen Torng
Publisher:
ISBN:
Category : Process control
Languages : en
Pages : 304
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Author: Saad Saeed Alkahtani
Publisher:
ISBN:
Category : Manufactures
Languages : en
Pages : 330
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Author: Cynthia Anne Lowry
Publisher:
ISBN:
Category : Multivariate analysis
Languages : en
Pages : 73
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Author: Richard Dennis Scranton
Publisher:
ISBN:
Category : Multivariate analysis
Languages : en
Pages : 82
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Author: Duy Anh Duong-Tran
Publisher:
ISBN:
Category : Process control
Languages : en
Pages : 90
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Book Description
Over the past half-century, Exponential Weighted Moving Average (EWMA) control charts have been widely used in Statistical Process Control to detect small and persistent process shifts. In theory, EWMA control limits monotonically increase over time to account for the continual growth of the EWMA statistic's variance. These control limits are often assumed constant and are set to their respective asymptotic limits. While not theoretically correct, this simplifies the process of applying and analyzing the EWMA control chart while having little effect on the chart's performance. One-Sided EWMA charts are often implemented when it is only desirable to detect shifts in a specific direction. When using One-Sided EWMA charts, reflecting boundaries (resets) can be used to prevent the statistic from drifting too far from the chart's control limit, which can delay shift detection. There have been several research efforts into the design and performance of One- Sided EWMA charts with reflecting boundaries; however, these efforts have maintained the constant control limit assumption. When implementing a reflecting boundary, the EWMA statistic's variance constantly being reset to zero, which may significantly affect the constant control limit assumption's validity. This study focused on understanding the impact into chart's performance with and without the constant limit assumption. Such comprehension has led to interesting performance comparisons between One-sided time-varying limit EWMA scheme and the combined Shewhart-EWMA control chart.
Author: M.A Graham
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Distribution-free (nonparametric) control charts provide a robust alternative to a data analyst when there is lack of knowledge about the underlying distribution. A two-sided nonparametric Phase II exponentially weighted moving average (EWMA) control chart, based on the exceedance statistics (EWMA-EX), is proposed for detecting a shift in the location parameter of a continuous distribution. The nonparametric EWMA chart combines the advantages of a nonparametric control chart (known and robust in-control performance) with the better shift detection properties of an EWMA chart. Guidance and recommendations are provided for practical implementation of the chart along with illustrative examples. A performance comparison is made with the traditional (normal theory) EWMA chart for subgroup averages and a recently proposed nonparametric EWMA chart based on the Wilcoxon-Mann-Whitney statistics. A summary and some concluding remarks are given.
Author: Chou-Lin Chen
Publisher:
ISBN:
Category : Analysis of variance
Languages : en
Pages : 446
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