Optimizing joint location-scale monitoring -- an adaptive distribution-free approach with minimal loss of information

DOI10.1016/j.ejor.2018.11.060zbMath1430.62259OpenAlexW2903264686MaRDI QIDQ1755400

Amitava Mukherjee, Zhi Song, Jiujun Zhang, Yan-Chun Liu

Publication date: 9 January 2019

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.11.060

zbMATH Keywords

quality controlnonparametricaverage run lengthsimultaneous monitoringadaptive Shewhart-Lepage (SL) type scheme

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (8)

An efficient approach of designing distribution-free exponentially weighted moving average schemes with dynamic fast initial response for joint monitoring of location and scale ⋮ Design and implementation of distribution-free Phase-II charting schemes based on unconditional run-length percentiles ⋮ The multi-aspect tests in the presence of ties ⋮ Phase-II monitoring of exponentially distributed process based on type-II censored data for a possible shift in location-scale ⋮ The performance of the hypergeometric \(np\) chart with estimated parameter ⋮ Some robust approaches based on copula for monitoring bivariate processes and component-wise assessment ⋮ The effect of measurement errors on the performance of the exponentially weighted moving average control charts for the ratio of two normally distributed variables ⋮ A new nonparametric monitoring of data streams for changes in location and scale via Cucconi statistic

Uses Software

• dfphase1

Cites Work

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