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A Bayesian procedure for assessing process performance based on expected relative loss with asymmetric tolerances

机译：一种贝叶斯程序，用于基于具有不对称公差的预期相对损失来评估过程性能

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摘要

It is discussed in brief about the use of loss function approach for assessing the process performance. Later, the concept of expected relative squared error loss is used to study the processes with symmetric tolerances. As this approach does not perform well as expected for the process with asymmetric tolerances, the loss index is modified to suit such cased. Since the use of the traditional frequentist approach is not effective when the distribution of the modified relative loss index, it is attempted to propose an alternative Bayesian approach that is more effective in assessing the process performance based on the loss index for the processes with asymmetric tolerances. An example is also given to illustrate the application of the procedure. (21 refs.)
机译：简要讨论了使用损失函数法评估过程性能的方法。后来，预期相对平方误差损失的概念被用于研究具有对称公差的过程。由于此方法的性能不理想，且具有不对称公差的过程，因此修改了损耗指数以适合这种情况。由于当修改的相对损耗指数分布时，传统的频繁使用方法无效，因此尝试提出一种替代贝叶斯方法，该方法在基于具有不对称公差的过程的损耗指数的过程性能评估中更有效。还给出了一个例子来说明该程序的应用。 （21篇）

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