Some Group Acceptance Sampling Based on Life Tests from Some Specific Distributions

Muhammad Aslam () and Mir Masoom Ali ()
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Muhammad Aslam: King Abdulaziz University, Department of Statistics, Faculty of Science
Mir Masoom Ali: Ball State University, Department of Mathematical Sciences

Chapter Chapter 5 in Testing and Inspection Using Acceptance Sampling Plans, 2019, pp 91-171 from Springer

Abstract: Abstract Recently, group sampling plans based on truncated life tests have attracted the researchers, industries, practitioners and experimenters working in the areas of acceptance sampling and reliability analysis due to the several advantages over the ordinary acceptance sampling plans. In ordinary acceptance sampling plan schemes, single item is installed on a single tester that requires the number of testers to be equal to the sample size, manpower, cost and time to install the item in the testers. On the other hand, group sampling plans are used under the assumption that the experimenter has the facility to install more than one item in single tester called group. It provides the strict inspection of the product and protection to producer and consumer. In this chapter, we will discuss group sampling plans under various lifetime distributions including Birnbaum–Saunders distribution, Burr type XII distribution, gamma distribution, generalized Birnbaum–Saunders distribution, generalized exponential distribution, generalized Rayleigh distribution, inverse Gaussian distribution, inverse Rayleigh distribution, log-logistic distribution, lognormal distribution, Pareto distribution of the second kind and the Weibull distribution.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-13-9306-8_5

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DOI: 10.1007/978-981-13-9306-8_5

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