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IEEE Transactions on Reliability, 1972
This tutorial paper shows, via an example, how optimum sampling plans can be derived using Bayesian decision theory. Both nonsequential and sequential sampling plans are described. The Bayesian method is contrasted with classical methods. The salient difference between Bayesian and classical methods is that the Bayesian approach allows one formally to ...
Darrell R. Gimlin, Arthur M. Breipohl
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This tutorial paper shows, via an example, how optimum sampling plans can be derived using Bayesian decision theory. Both nonsequential and sequential sampling plans are described. The Bayesian method is contrasted with classical methods. The salient difference between Bayesian and classical methods is that the Bayesian approach allows one formally to ...
Darrell R. Gimlin, Arthur M. Breipohl
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Dissolution test acceptance sampling plans
Journal of Biopharmaceutical Statistics, 1995The U.S. Pharmacopeia (USP) general monograph provides a standard for dissolution compliance with the requirements as stated in the individual USP monograph for a tablet or capsule dosage form. The acceptance rules recommended by USP have important roles in the quality control process.
Y, Tsong +3 more
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Multinomial acceptance sampling
Proceedings of the 1966 21st national conference on -, 1966Careless manufacture or assembly will yield an incidence of unsatisfactory output, the percentage of which will drop very rapidly when greater precautions are taken, but will not result in a perfect performance level, and indeed as that ideal is approached, the effort expense required to ensure higher quality rises inordinately for each small gain in ...
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Quality Engineering, 1999
[This abstract is based on the author's abstract.] A quick graphical method is presented for determining the optimal plan for acceptance sampling for attributes. The standard values for producer's and consumer's risk of a = 5% and b = 10%, respectiv..
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[This abstract is based on the author's abstract.] A quick graphical method is presented for determining the optimal plan for acceptance sampling for attributes. The standard values for producer's and consumer's risk of a = 5% and b = 10%, respectiv..
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Coal blending—with acceptance sampling
Computers & Operations Research, 1991Abstract This paper presents a blending problem with 1. (a) integer constraints on minimum usage and 2. (b) acceptance sampling with penalty function and rejection. A combination of a “core” integer programming analysis with supporting simulation of stochastic outcomes allows an orderly search for the preferred cost-risk combination.
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Miscellaneous Acceptance Sampling Plans
2019In addition to sampling plans discussed in the previous chapters, there are some other sampling plans which are used in various situations. Incorporating the exponentially weighted moving average (EWMA) makes the traditional sampling plan more efficient in reducing the cost and time of inspection.
Muhammad Aslam, Mir Masoom Ali
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Biometrika, 1999
The aim of this paper is to propose a new estimator for an expression of the form \(\mu=\int f dP\) via accept-reject sampling. Here \(f\) is a function from \(X\to\mathbb{R}\) and \(P\) is a probability measure on \(X\), where \(X\) might be multidimensional.
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The aim of this paper is to propose a new estimator for an expression of the form \(\mu=\int f dP\) via accept-reject sampling. Here \(f\) is a function from \(X\to\mathbb{R}\) and \(P\) is a probability measure on \(X\), where \(X\) might be multidimensional.
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2020
Acceptance sampling is the application of hypothesis testing to the decision problem of either accepting a lot, or batch of units, or the process producing those units as “acceptable,” or “rejecting” it as “unacceptable.” Often the null hypothesis is stated in terms of the probability that a randomly selected unit is “unacceptable.” However, the ...
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Acceptance sampling is the application of hypothesis testing to the decision problem of either accepting a lot, or batch of units, or the process producing those units as “acceptable,” or “rejecting” it as “unacceptable.” Often the null hypothesis is stated in terms of the probability that a randomly selected unit is “unacceptable.” However, the ...
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