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Inverse-gaussian acceptance sampling plans by variables
Communications in Statistics - Theory and Methods, 1996Variable sampling plans to control fraction defective are obtained using the Inverse-Gaussian (IG) distribution. OC curves are obtained and impact of sample size and specification limits on these curves are discussed. Simulation studies are used to investigate sensitivity of the sampling plans under the more commonly used normal distribution.
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An on-line interactive system for studying acceptable sampling plans
Proceedings of the annual conference on - ACM'73, 1973In this dissertation an on-line interactive system for generating and analyzing various acceptance sampling plans is presented. This real-time sampling plan system utilizes a series of algorithms to perform the necessary functions for generating information pertinent to single, double, and multiple sampling plans.
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Acceptance Sampling Plans by Variables for Vague Data
2002All classical sampling plans were constructed for exact data. However, sometimes we are not able to obtain such data but we deal with imprecise or even linguistic data. Therefore, a method for designing acceptance sampling plans by variables for vague data is considered.
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Repetitive group sampling plan based on the process capability index for the lot acceptance problem
Journal of Statistical Computation and Simulation, 2017Mohammad Saber Fallah Nezhad +1 more
exaly
Analysis of process yield in a cost-effective double acceptance sampling plan
Communications in Statistics - Theory and Methods, 2020Muhammad Aslam, Chi-Hyuck Jun
exaly
A Lot Sensitive Sampling Plan for Compliance Testing and Acceptance Inspection
Journal of Quality Technology, 1978Edward G Schilling
exaly

