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- W4313128843 abstract "This article introduces a new method for generating the exact one-sided and two-sided tolerance limit factors for normal populations. This method does not need to handle the noncentral t -distribution at all, but only needs to do a double integration of a joint probability density function with respect to the two independent variables “ s ” (standard deviation) and “ x ” (sample mean). The factors generated by this method are investigated through Monte Carlo simulations and compared with the existing factors. As a result, it is identified that the two-sided tolerance limit factors being currently used in practical applications are inaccurate. For the right understanding, some factors generated by this method are presented in Tables along with a guidance for correct use of them. The AQL (Acceptable Quality Level) is a good, common measure about quality of a product lot which was already produced or will be produced. Therefore, when performing sampling inspection on a given lot using a tolerance limit factor, there is a necessity to know the AQL assigned to the factor. This new double integration method even makes it possible to generate the AQLs corresponding to the one-sided and two-sided tolerance limit factors." @default.
- W4313128843 created "2023-01-06" @default.
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- W4313128843 date "2022-01-01" @default.
- W4313128843 modified "2023-09-26" @default.
- W4313128843 title "A double integration method for generating exact tolerance limit factors for normal populations" @default.
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- W4313128843 doi "https://doi.org/10.1051/ijmqe/2022015" @default.
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