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008 200319s2020 sz | s |||| 0|eng d
020 _a9783030250812
_9978-3-030-25081-2
024 7 _a10.1007/978-3-030-25081-2
_2doi
050 4 _aHD28-70
072 7 _aTBC
_2bicssc
072 7 _aKJM
_2bicssc
072 7 _aTEC000000
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072 7 _aTBC
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072 7 _aKJM
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082 0 4 _a658.5
_223
245 1 0 _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.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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
650 0 _aStatistics .
_931616
650 0 _aInformation technology—Management.
_931584
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
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
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