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Statistical Quality Control Limits for the Sample Mean Chart Using Robust Extreme Ranked Set Sampling
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Amer Ibrahim Al-Omari
Veröffentlicht/Copyright:
30. Juni 2011
Abstract
In this paper, new quality control charts for the mean are considered using robust extreme ranked set sampling (RERSS) method. The new charts are compared with the classical control charts using simple random sampling (SRS) and ranked set sampling methods (RSS). It is found that the RERSS charts perform better than all other charts based on SRS and RSS methods in terms of their average run length (ARL).
Keywords.: Quality Control Charts; Robust Extreme Ranked Set Sampling; Ranked Set Sampling; Average Run Length
Received: 2010-12-29
Published Online: 2011-06-30
Published in Print: 2011-September
© de Gruyter 2011
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Artikel in diesem Heft
- Editorial
- Control Charts Based on the g-and-h Distribution
- Economic Reliability Group Acceptance Sampling Plans Based on the Inverse-Rayleigh and the Log-Logistic Distributions
- Use of Auxiliary Information in Estimating the Finite Population Mean in Survey Sampling
- One-Sided Cumulative Sum (CUSUM) Control Charts for the Zero-Truncated Binomial Distribution
- Significance Test for the Half Logistic Distribution
- The Quality Loss Index QLI and Its Properties
- Statistical Quality Control Limits for the Sample Mean Chart Using Robust Extreme Ranked Set Sampling
Schlagwörter für diesen Artikel
Quality Control Charts;
Robust Extreme Ranked Set Sampling;
Ranked Set Sampling;
Average Run Length
Artikel in diesem Heft
- Editorial
- Control Charts Based on the g-and-h Distribution
- Economic Reliability Group Acceptance Sampling Plans Based on the Inverse-Rayleigh and the Log-Logistic Distributions
- Use of Auxiliary Information in Estimating the Finite Population Mean in Survey Sampling
- One-Sided Cumulative Sum (CUSUM) Control Charts for the Zero-Truncated Binomial Distribution
- Significance Test for the Half Logistic Distribution
- The Quality Loss Index QLI and Its Properties
- Statistical Quality Control Limits for the Sample Mean Chart Using Robust Extreme Ranked Set Sampling
