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  • Search: subject:"false alarm probability"
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Year of publication
Subject
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false alarm probability 4 Bayes stopping time 2 CUSUM method 2 average detection delay 2 multiple hypothesis testing 2 stopping time 2 Analysis of means 1 Average run length 1 Bonferroni-adjustment 1 False alarm probability 1 Probability theory 1 Quality management 1 Qualitätsmanagement 1 Search theory 1 Shewhart 1 Statistical quality control 1 Statistical test 1 Statistische Qualitätskontrolle 1 Statistischer Test 1 Suchtheorie 1 Theorie 1 Theory 1 Time 1 Wahrscheinlichkeitsrechnung 1 Zeit 1 average run length 1 distribution-free 1 false alarm rate 1 fast initial response 1 median run length 1 multivariate hypergeometric 1 numerical methods 1 prospective 1 quality control 1 retrospective 1 time-varying control limits 1
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Online availability
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Free 3 Undetermined 1
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3 Undetermined 2
Author
All
Golubev, Yuri 2 Safarian, Mher M. 2 Chakraborti, S. 1 Graham, M. A. 1 Human, S. W. 1 Kiani, Mehdi 1 Knoth, Sven 1 Panaretos, John 1 Psarakis, Stelios 1
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Institution
All
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
International journal of production research 1 Journal of Applied Statistics 1 KIT Working Paper Series in Economics 1 MPRA Paper 1 Working paper series in economics 1
Source
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ECONIS (ZBW) 2 RePEc 2 EconStor 1
Showing 1 - 5 of 5
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On robust stopping times for detecting changes in distribution
Golubev, Yuri; Safarian, Mher M. - 2018
, where α(θ;τ)=Pθ{τ<θ} is 'the false alarm probability' and Δ(θ;τ)=Eθ(τ−θ)+ is 'the average detection delay', and explain why …
Persistent link: https://www.econbiz.de/10011848924
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Cover Image
On robust stopping times for detecting changes in distribution
Golubev, Yuri; Safarian, Mher M. - 2018
, where α(θ;τ)=Pθ{τ<θ} is \textit{the false alarm probability} and Δ(θ;τ)=Eθ(τ−θ)+ is \textit{the average detection delay …
Persistent link: https://www.econbiz.de/10011845118
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Run length quantiles of EWMA control charts monitoring normal mean or/and variance
Knoth, Sven - In: International journal of production research 53 (2015) 15, pp. 4629-4647
Persistent link: https://www.econbiz.de/10011344703
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A New Procedure to Monitor the Mean of a Quality Characteristic
Kiani, Mehdi; Panaretos, John; Psarakis, Stelios - Volkswirtschaftliche Fakultät, … - 2008
The Shewhart, Bonferroni-adjustment and analysis of means (ANOM) control chart are typically applied to monitor the mean of a quality characteristic. The Shewhart and Bonferroni procedure are utilized to recognize special causes in production process, where the control limits are constructed by...
Persistent link: https://www.econbiz.de/10005837132
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Cover Image
A Phase I nonparametric Shewhart-type control chart based on the median
Graham, M. A.; Human, S. W.; Chakraborti, S. - In: Journal of Applied Statistics 37 (2010) 11, pp. 1795-1813
the false alarm probability (FAP) is given in terms of the multivariate hypergeometric distribution and this is used to …
Persistent link: https://www.econbiz.de/10008674987
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