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Drift time detection and adjustment procedures for processes subject to linear trend

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Publication:3527940
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DOI10.1080/00207540500410242zbMath1160.90389OpenAlexW2084681134MaRDI QIDQ3527940

Hossam Mahmoud Ahmad Fahmy, Elsayed A. Elsayed

Publication date: 1 October 2008

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540500410242


zbMATH Keywords

maximum likelihood estimatelinear trendprocess adjustmentdrift time


Mathematics Subject Classification ID

Production models (90B30)


Related Items (2)

Identifying the time of change in the mean of a two-stage nested process ⋮ Comparisons of control schemes for monitoring the means of processes subject to drifts



Cites Work

  • The log likelihood ratio in segmented regression
  • A Bivariate Test for the Detection of a Systematic Change in Mean
  • Fitting Segmented Curves Whose Join Points Have to be Estimated
  • Inference about the intersection in two-phase regression
  • Inference about the change-point in a sequence of random variables
  • Estimating the transition between two intersecting straight lines
  • Inference in Two-Phase Regression


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