On the performance of different capability indices under normal and non-normal distributions |
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Authors: | Muhammad Riaz Tayyiba Hamid |
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Affiliation: | 1. Department of Mathematics and Statistics, King Fahad University of Petroleum and Minerals, Dhahran, Saudi Arabia;2. Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan |
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Abstract: | In this article, we have examined the performance of some useful capability indices using normal and non-normal distributions. The confidence intervals are calculated and mean coverage rates are observed for different capability indices. The effects of symmetry and kurtosis of parent distributions are examined on the mean coverage rates of different capability indices. Moreover, we have investigated the robustness (of confidence interval) using the median and percentile-based indices. We have considered the well-known distributions including normal, gamma, t, Weibull, and chi-squared. For these process scenarios, we have observed that some indices resist disturbance only in symmetry of the parent distribution, some resist the disturbance in symmetry and kurtosis of the distribution, and some indices don’t resist against either type of disturbance. |
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Keywords: | Capability indices confidence intervals coverage rates kurtosis normality non-normality skewness |
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