國立高雄大學圖資館 |

Language: English

Back

Distribution-free methods for statis...

Koutras, Markos V.

Distribution-free methods for statistical process monitoring and control

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distribution-free methods for statistical process monitoring and controledited by Markos V. Koutras, Ioannis S. Triantafyllou.
other author:	Koutras, Markos V.
Published:	Cham :Springer International Publishing :2020.
Description:	ix, 257 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Process controlStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-030-25081-2
ISBN:	9783030250812$q(electronic bk.)

Distribution-free methods for statistical process monitoring and control
Distribution-free methods for statistical process monitoring and control[electronic resource] /edited by Markos V. Koutras, Ioannis S. Triantafyllou. - Cham :Springer International Publishing :2020. - ix, 257 p. :ill., digital ;24 cm.

An 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.

This 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.

ISBN: 9783030250812$q(electronic bk.)

Standard No.: 10.1007/978-3-030-25081-2doiSubjects--Topical Terms:

181914
Process control
--Statistical methods.

LC Class. No.: TS156.8 / .D578 2020

Dewey Class. No.: 658.5

Distribution-free methods for statistical process monitoring and control
LDR:02644nmm a2200337 a 4500 001 572644
003 DE-He213
005 20200804110550.0
006 m d
007 cr nn 008maaau
008 200925s2020 sz s 0 eng d
020 $a 9783030250812$q(electronic bk.)
020 $a 9783030250805$q(paper)
024 7 $a 10.1007/978-3-030-25081-2 $2 doi
035 $a 978-3-030-25081-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TS156.8 $b .D578 2020
072 7 $a TBC $2 bicssc
072 7 $a TEC000000 $2 bisacsh
072 7 $a TBC $2 thema
072 7 $a KJMV $2 thema
082 0 4 $a 658.5 $2 23
090 $a TS156.8 $b .D614 2020
245 0 0 $a Distribution-free methods for statistical process monitoring and control $h [electronic resource] / $c edited by Markos V. Koutras, Ioannis S. Triantafyllou.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a ix, 257 p. : $b ill., digital ; $c 24 cm.
505 0 $a An 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 $a This 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 $a Process control $x Statistical methods. $3 181914
650 1 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 274009
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 348605
650 2 4 $a Business Process Management. $3 714086
700 1 $a Koutras, Markos V. $3 228267
700 1 $a Triantafyllou, Ioannis S. $3 857876
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-25081-2
950 $a Engineering (Springer-11647)