A New Process Capability Index for Bivariate Non-Gaussian Distributions
碩士 === 銘傳大學 === 應用統計資訊學系碩士班 === 100 === The process capability index is defined by the ratio between the process variation and the specification limits. It is used to measure the ability of a process to produce the products consistent. Traditionally, the index is obtained separately from single qual...
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ndltd-TW-100MCU055060052015-10-13T21:56:04Z http://ndltd.ncl.edu.tw/handle/86377232836311593799 A New Process Capability Index for Bivariate Non-Gaussian Distributions 二維非常態分配之製程能力指標 Wei-Chun Hung 洪偉竣 碩士 銘傳大學 應用統計資訊學系碩士班 100 The process capability index is defined by the ratio between the process variation and the specification limits. It is used to measure the ability of a process to produce the products consistent. Traditionally, the index is obtained separately from single quality characteristic variable. In practice, however, several correlated quality characteristic variables should be considered to satisfy the consumers’ requirement. Multivariate normal distribution is conventionally assumed for multivariate process capability indices in several studies. But, the robustness of the multivariate process capability index for non-Gaussian distribution does not be considered. In this study, we will propose a new multivariate process capability index for bivariate non-Gaussian data. The trimmed data area is measured to estimate the dispersion of variables by omitting the extreme values. The robustness of the proposed index will be investigated by simulation method for several kinds of non-Gaussian distributions. 作者未提供 作者未提供 廖承茂 李水彬 2012 學位論文 ; thesis 60 zh-TW |
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碩士 === 銘傳大學 === 應用統計資訊學系碩士班 === 100 === The process capability index is defined by the ratio between the process variation and the specification limits. It is used to measure the ability of a process to produce the products consistent. Traditionally, the index is obtained separately from single quality characteristic variable. In practice, however, several correlated quality characteristic variables should be considered to satisfy the consumers’ requirement. Multivariate normal distribution is conventionally assumed for multivariate process capability indices in several studies. But, the robustness of the multivariate process capability index for non-Gaussian distribution does not be considered. In this study, we will propose a new multivariate process capability index for bivariate non-Gaussian data. The trimmed data area is measured to estimate the dispersion of variables by omitting the extreme values. The robustness of the proposed index will be investigated by simulation method for several kinds of non-Gaussian distributions.
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作者未提供 Wei-Chun Hung 洪偉竣 |
author |
Wei-Chun Hung 洪偉竣 |
spellingShingle |
Wei-Chun Hung 洪偉竣 A New Process Capability Index for Bivariate Non-Gaussian Distributions |
author_sort |
Wei-Chun Hung |
title |
A New Process Capability Index for Bivariate Non-Gaussian Distributions |
title_short |
A New Process Capability Index for Bivariate Non-Gaussian Distributions |
title_full |
A New Process Capability Index for Bivariate Non-Gaussian Distributions |
title_fullStr |
A New Process Capability Index for Bivariate Non-Gaussian Distributions |
title_full_unstemmed |
A New Process Capability Index for Bivariate Non-Gaussian Distributions |
title_sort |
new process capability index for bivariate non-gaussian distributions |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/86377232836311593799 |
work_keys_str_mv |
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