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Distribution-Free Methods for Statistical Process Monitoring and Control

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Distribution-Free Methods for Statistical Process Monitoring and Control/ edited by Markos V. Koutras, Ioannis S. Triantafyllou.
other author:	Koutras, Markos V.
Description:	IX, 257 p. 53 illus., 17 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering economics. -
Online resource:	https://doi.org/10.1007/978-3-030-25081-2
ISBN:	9783030250812

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. - 1st ed. 2020. - IX, 257 p. 53 illus., 17 illus. in color.online resource.

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

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

1253802
Engineering economics.

LC Class. No.: TA177.4-185

Dewey Class. No.: 658.5

Distribution-Free Methods for Statistical Process Monitoring and Control
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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.
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