000 | 03693nam a22005535i 4500 | ||
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001 | 978-3-030-25081-2 | ||
003 | DE-He213 | ||
005 | 20220801214533.0 | ||
007 | cr nn 008mamaa | ||
008 | 200319s2020 sz | s |||| 0|eng d | ||
020 |
_a9783030250812 _9978-3-030-25081-2 |
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024 | 7 |
_a10.1007/978-3-030-25081-2 _2doi |
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_aDistribution-Free Methods for Statistical Process Monitoring and Control _h[electronic resource] / _cedited by Markos V. Koutras, Ioannis S. Triantafyllou. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
|
300 |
_aIX, 257 p. 53 illus., 17 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aAn Overview of Nonparametric Control Charts -- Distribution-free Control Charts for Monitoring the Location Parameter -- Nonparametric Control Charts for Monitoring the Dispersion Parameter -- Bivariate Nonparametric Control Charts -- Exponentially Weighted Moving Average Control Charts based on Ranks -- Cumulative Sum Control Charts based on Ranks -- Nonparametric Control Charts based on Order Statistics -- The Run-Length Distribution of Nonparametric Control Charts -- Distribution-free Control Charts for Joint Monitoring Location and Scale -- Distribution-free Phase II Control Charts for Monitoring Continuous Process. | |
520 | _aThis book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations tied to the monitored population quantile, focusing on the Shewhart Sign chart. The book also addresses the issue of practically assuming the normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free control charts designed for Phase I applications. Moreover, it introduces six distribution-free EWMA schemes for simultaneously monitoring the location and scale parameters of a univariate continuous process, and establishes two nonparametric Shewhart-type control charts based on order statistics with signaling runs-type rules. Lastly, the book proposes novel and effective method for early disease detection. | ||
650 | 0 |
_aIndustrial Management. _95847 |
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650 | 0 |
_aStatistics . _931616 |
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650 | 0 |
_aInformation technology—Management. _931584 |
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650 | 1 | 4 |
_aIndustrial Management. _95847 |
650 | 2 | 4 |
_aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _931790 |
650 | 2 | 4 |
_aBusiness Process Management. _937129 |
700 | 1 |
_aKoutras, Markos V. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _915406 |
|
700 | 1 |
_aTriantafyllou, Ioannis S. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _938935 |
|
710 | 2 |
_aSpringerLink (Online service) _938936 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030250805 |
776 | 0 | 8 |
_iPrinted edition: _z9783030250829 |
776 | 0 | 8 |
_iPrinted edition: _z9783030250836 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-25081-2 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c76456 _d76456 |