A time series approach to quality control
One way that a process may be said to be "out-of-control" is when a cyclical pattern exists in the observations over time. It is necessary that an accurate control chart be developed to signal when a cycle is present in the process. Two control charts have recently been developed to deal w...
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ndltd-RICE-oai-scholarship.rice.edu-1911-134922013-10-23T04:10:12ZA time series approach to quality controlDittrich, Gayle LynnStatisticsOne way that a process may be said to be "out-of-control" is when a cyclical pattern exists in the observations over time. It is necessary that an accurate control chart be developed to signal when a cycle is present in the process. Two control charts have recently been developed to deal with this problem. One, based on the periodogram, provides a test based on a finite number of frequencies. The other method uses a test which estimates a statistic which covers all frequency values. However, both methods fail to estimate the frequency value of the cycle and are computationally difficult. A new control chart is proposed which not only covers a continuous range of frequency values, but also estimates the frequency of the cycle. It in addition is easier to understand and compute than the two other methods.Ensor, Katherine B.2009-06-04T00:37:24Z2009-06-04T00:37:24Z1991ThesisText67 p.application/pdfhttp://hdl.handle.net/1911/13492eng |
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English |
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Statistics Dittrich, Gayle Lynn A time series approach to quality control |
description |
One way that a process may be said to be "out-of-control" is when a cyclical pattern exists in the observations over time. It is necessary that an accurate control chart be developed to signal when a cycle is present in the process. Two control charts have recently been developed to deal with this problem. One, based on the periodogram, provides a test based on a finite number of frequencies. The other method uses a test which estimates a statistic which covers all frequency values. However, both methods fail to estimate the frequency value of the cycle and are computationally difficult. A new control chart is proposed which not only covers a continuous range of frequency values, but also estimates the frequency of the cycle. It in addition is easier to understand and compute than the two other methods. |
author2 |
Ensor, Katherine B. |
author_facet |
Ensor, Katherine B. Dittrich, Gayle Lynn |
author |
Dittrich, Gayle Lynn |
author_sort |
Dittrich, Gayle Lynn |
title |
A time series approach to quality control |
title_short |
A time series approach to quality control |
title_full |
A time series approach to quality control |
title_fullStr |
A time series approach to quality control |
title_full_unstemmed |
A time series approach to quality control |
title_sort |
time series approach to quality control |
publishDate |
2009 |
url |
http://hdl.handle.net/1911/13492 |
work_keys_str_mv |
AT dittrichgaylelynn atimeseriesapproachtoqualitycontrol AT dittrichgaylelynn timeseriesapproachtoqualitycontrol |
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1716610367126241280 |