The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors
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Publication:5079178
DOI10.1080/03610926.2020.1737125OpenAlexW3012271138MaRDI QIDQ5079178
Philippe Castagliola, Jean-Claude Malela-Majika, Sandile C. Shongwe
Publication date: 25 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2020.1737125
Markov chainmeasurement errorssteady-stateadditive modelfirst-order autoregressive modelruns-rulesmultiple measurements sampling strategyskip sampling strategyzero-state
Related Items (3)
Measuring one-sided process capability index for autocorrelated data in the presence of random measurement errors ⋮ An adaptive max-type multivariate control chart by considering measurement errors and autocorrelation ⋮ A side-sensitive group runs median control chart with measurement errors
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