Designing of Repetitive Group Sampling Plan under the Inverse Gaussian Distribution
G. Kannan1, S. Balamurali2
1G. Kannan, Department of Mathematics, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
2S. Balamurali, Department of Computer Applications, Kalasalingam Academy of Research and Education College, (Tamil Nadu), India.
Manuscript received on 25 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 30 December 2019 | PP: 987-991 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A12111291S419/19©BEIESP | DOI: 10.35940/ijeat.A1211.1291S419
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Abstract: This study investigates the attributes repetitive group sampling plans based on a truncated life test under the inverse Gaussian distribution with known shape parameter. The sample size and two acceptance numbers are the three design parameters determined for the proposed repetitive group sampling plans for different mean ratios. Tables are constructed to determine the optimal design parameters for different values of shape parameters of the inverse Gaussian model and the results are explained by with examples. Also the effect of misspecification of shape parameters is also discussed.
Keywords: Consumer’s Risks, Inverse Gaussian Distribution, Producer’s Risks, Repetitive Group Sampling Plans, Truncated Life Test.
Scope of the Article: Plant Cyber Security