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Economic Reliability Group Acceptance Sampling Plans Based on the Inverse-Rayleigh and the Log-Logistic Distributions
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Muhammad Aslam
and
Abdur Razzaque Mughal
Published/Copyright:
March 14, 2011
Abstract
Economic reliability group acceptance sampling plans are developed assuming that the lifetime of a submitted product follows the inverse-Rayleigh or log-logistic distribution. For various acceptance numbers, sample size and producer's risks, plans with minimum experimental time are obtained that are smaller than for conventional plans. The results are illustrated by tables and examples.
Received: 2010-09-27
Published Online: 2011-03-14
Published in Print: 2011-September
© de Gruyter 2011
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Articles in the same Issue
- 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
Keywords for this article
Grouped Data;
Reliability Test Plan;
Minimum Test Duration;
Truncated Life Test
Articles in the same Issue
- 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
