000			03384nam a2200433 i 4500
999			_c119265 _d119265
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003			ES-MaUEC
005			20230102113938.0
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007			cr nn nnnaamaa
008			200319s2020 gw | s |||| 0|eng d
020			_a9783030250812
024	7		_a10.1007/978-3-030-25081-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS156.8 _b2020 EB
245	1	0	_aDistribution-Free Methods for Statistical Process Monitoring and Control _cedited by Markos V. Koutras, Ioannis S. Triantafyllou
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (IX, 257 páginas) _b53 ilustraciones, 17 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aEngineering (Springer-11647)
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	3		_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.
988			_aSpringer_Engineering_31032020
650		7	_2embne _9150643 _aControl de procesos _xMétodos estadísticos
700	1		_aKoutras, Markos V _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTriantafyllou, Ioannis S _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service) _9106996
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030250805
776	0	8	_iPrinted edition: _z9783030250829
776	0	8	_iPrinted edition: _z9783030250836
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-25081-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _ek _zSI