Acceptance Sampling Based on the Inverse Rayleigh Distribution
-
K. Rosaiah
Abstract
The well known inverse Rayleigh distribution is considered as a model for a life time random variable. The problem of acceptance sampling when the life test is truncated at a pre-assigned time is discussed. For various acceptance numbers, various confidence levels and various values of the ratio of the fixed experimental time to the specified mean life, the minimum sample size necessary to assure a specified mean life time is worked out. The operating characteristic functions of the sampling plans are obtained. Producer's risk is also discussed. A table for the ratio of the true mean life to a specified mean life that ensures acceptance with a pre-assigned probability is provided. The results are illustrated by an example.
© Heldermann Verlag
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Articles in the same Issue
- 2005 - The Jakob Bernoulli Year 350th Anniversary of Jakob's Birth and 300th Anniversary of Jakob's Death
- Six Sigma the “Breakthrough Management Strategy”?
- Determining the Parameters of a Multinomial Distribution: The Fiducial Approach
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- On Cumulative Conforming Type of Control Charts for High Quality Processes Under Sampling Inspection
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- Weibull Extension of a Bivariate Exponential Regression Model
- Weighted Least Squares Estimators for a Change-Point
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- Acceptance Sampling Based on the Inverse Rayleigh Distribution
- An Alternative Simple Proof of a Result Useful in Reliability Shock Models
- Draft International Standard ISO/DIS 2210: Milk and Milk Products
