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Journal of Applied Statistics Volume 37, 2010 - Issue 1
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Original Articles

Identifying the time of step change in the mean of autocorrelated processes

Marcus B. Perry Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, AL, USACorrespondence[email protected]
&
Joseph J. Pignatiello Jr. Department of Industrial and Manufacturing Engineering, Florida State University, Tallahassee, FL, USA
Pages 119-136 | Received 23 Jun 2008, Published online: 15 Dec 2009

Citations (7)

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Marcus B. Perry & Joseph J. Pignatiello$suffix/text()$suffix/text(). (2012) Identifying the time of change in the mean of a two-stage nested process. Journal of Applied Statistics 39:2, pages 419-433.
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Articles from other publishers (6)

Majid Khedmati & Seyed Taghi Akhavan Niaki. (2015) Identifying the time of a step change in AR(1) auto-correlated simple linear profiles. Journal of Industrial Engineering International 11:4, pages 473-484.
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Cesare Alippi, Giacomo Boracchi & Manuel Roveri. (2013) Ensembles of change-point methods to estimate the change point in residual sequences. Soft Computing 17:11, pages 1971-1981.
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Cesare Alippi, Giacomo Boracchi, Vicenc Puig & Manuel Roveri. (2013) An ensemble approach to estimate the fault-time instant. An ensemble approach to estimate the fault-time instant.
Sukhraj Singh & D.R. Prajapati. (2013) Performance of CUSUM and EWMA charts for serial correlation. The TQM Journal 25:3, pages 309-324.
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Amirhossein Amiri & Saeed Allahyari. (2011) Change Point Estimation Methods for Control Chart Postsignal Diagnostics: A Literature Review. Quality and Reliability Engineering International 28:7, pages 673-685.
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CANAN BILEN. (2011) MONITORING AUTOCORRELATED PROCESSES WITH WAVELETS. International Journal of Reliability, Quality and Safety Engineering 17:02, pages 133-156.
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