Abstract
In this paper, acceptance sampling plans are developed when the life test is truncated at a pre-assigned time. For different acceptance numbers, confidence levels and values of the ratio of the fixed experiment time to the specified average life time, the minimum sample sizes required to ensure the specified average life are calculate assuming that the life time variate of the test units follows a two-parameter Quasi Lindley distribution (QLD(2)). The operating characteristic function values of the new sampling plans and the corresponding producer's risk are presented.
Highlights
During the Second World War the acceptance sampling plan is used in the US Military for testing the bullets
The acceptance sampling plans are used to locate the acceptability of a product unit, where the consumer can accept or reject the lot based on a random sample selected from the lot
Al-Omari and AlHadhrami (2018) suggested acceptance sampling plans based on truncated life tests for Extended Exponential distribution
Summary
During the Second World War the acceptance sampling plan is used in the US Military for testing the bullets. To solve and compute the acceptance sampling parameters it is assumed the life time follow a specific model or distribution. In this article we suggest of using a two parameters quasi Lindley distribution QLD(2). Baklizi et al (2005) considered the acceptance sampling plans based on truncated life tests Rayleigh model. Kantam et al (2001) considered truncated life tests for log-logistic distribution. Al-Omari (2018a,b) proposed acceptance sampling plans for the Garima and transmuted generalized inverse Weibull distributions, respectively. Al-Omari and AlHadhrami (2018) suggested acceptance sampling plans based on truncated life tests for Extended Exponential distribution.
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