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Titlebook: Distribution-Free Methods for Statistical Process Monitoring and Control; Markos V. Koutras,Ioannis S. Triantafyllou Book 2020 Springer Na

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https://doi.org/10.1007/978-3-030-25081-2Nonparametric Methods; Statistical Process Control; Run Length; Alarm Rate; Distribution-Free Charts; dis
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978-3-030-25083-6Springer Nature Switzerland AG 2020
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Recent Advances on Univariate Distribution-Free Shewhart-Type Control Charts,e present literature review depict the most recent developments on the topic, since it has been chosen to discuss only the advances appeared during the last decade. For each distribution-free control chart, the general setup and several performance characteristics are presented in some detail.
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https://doi.org/10.1007/978-1-349-20036-8al results take into account different shift scenarios for the location parameter, the scale parameter or both. Finally, some concluding remarks are given, as well as some ideas and directions for future work.
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Multivariate Nonparametric Control Charts Based on Ordered Samples, Signs and Ranks,al results take into account different shift scenarios for the location parameter, the scale parameter or both. Finally, some concluding remarks are given, as well as some ideas and directions for future work.
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,A Nonparametric Control Chart for Dynamic Disease Risk Monitoring,ngitudinal pattern of the quantified risk is monitored sequentially over time by a nonparametric control chart. A signal will be given by the chart once the cumulative difference between the risk pattern of the patient under monitoring and the risk pattern of a typical person without the disease in concern exceeds a control limit.
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