Detection of changes in time-series of indicators using CUSUM control charts

Aquatic Living Resources

Volumn 22, Issue 2, 2009, Pages 187-192

  Mesnil, Benoit ^a   Petitgas, Pierre ^a  

^a IFREMER   (France)

Author keywords

Aquatic resource monitoring; CUSUM; Statistical process control

Indexed keywords

BIOINDICATOR; DETECTION METHOD; FISHERY SURVEY; MARINE ECOSYSTEM; MONITORING; RESOURCE MANAGEMENT; TIME SERIES;

EID: 67749144215     PISSN: 09907440     EISSN: 17652952     Source Type: Journal    
DOI: 10.1051/alr/2008058     Document Type: Article

References (22)

1. Chang W.R., McLean I.P., 2006, Cusum: a tool for early feedback about performance? BMC Medical Res. Methodol. 2006, 6:8 (http://www.biomedcentral.com/ 1471- 2288/6/8)
2. Derman C., Ross S.M., 1997, Statistical aspects of quality control. London, Academic Press.
3. Gan F.F., 1993, The run-length distribution of a cumulative sum control chart. J. Qual. Technol. 25, 205-215.
4. Hawkins D.M., Olwell D.H., 1998, Cumulative sum charts and charting for quality improvement. New York, Springer Verlag.
5. ICES, 2003, Report of the ICES Advisory Committee on Fishery Management, 2003. ICES Coop. Res. Rep. 261, 3 volumes.
6. Jones L.A., Champ C.W., Rigdon S.E., 2004, The run length distribution of the CUSUM with estimated parameters. J. Qual. Technol. 36, 95-108.
7. Jun C.-H., Choi M.S., 1993. Simulating the average run length for CUSUM schemes using variance reduction techniques. Communications in Statistics B: Simulation 22, 877-887
8. Lu C.-W., Reynolds M.R., 1999, Control charts for monitoring themean and variance of autocorrelated processes. J. Qual. Techno l31, 259-274.
9. Luceño A., Puig-Pey J., 2002, Computing the run-length probability distribution for CUSUM charts. J. Qual. Technol. 34, 209-215.
10. Manly B.F.J., 2001, Statistics for environmental science and management. Boca Raton, Chapman & Hall/CRC.
11. th Edition 2005. New York, Wiley.
12. Moustakides G.V., 1986, Optimal stopping times for detecting changes in distributions. Ann. Stat. 14, 1379-1387.
13. Nicholson M.D., 1984, Some applications of CUSUM techniques in fisheries research. Int. Counc. Explor. Sea, CM 1984/D:5, 10 p.
14. Page E.S., 1961, Cumulative sum control charts. Technometrics 3, 1-9.
15. Petitgas P., 2009, The CUSUM out-of-control table to monitor changes in fish stock status using many indicators. Aquat. Living Resour. 22, 201-206.
16. R Development Core Team, 2005, R: A language and environment for statistical Computing. Vienna, Austria, R Foundation for Statistical Computing. URL http://cran.r-project.org/
17. Reynolds M.R., Stoumbos Z.G., 2004, Control charts and the efficient allocation of sampling resources. Technometrics 47, 409-424.
18. Scandol J.P., 2003, Use of cumulative sum (CUSUM) control charts of landed catch in the management of fisheries. Fish. Res. 64, 19-36.
19. Scandol J.P., 2005, Use of quality control methods to monitor the status of fish stocks. In: Kruse G.H., Gallucci V.F., Hay D.E., Perry R.I., Peterman R.M., Shirley T.C., Spencer P.D., Wilson B., Woodby D. (eds.), Fisheries Assessment and Management in Data-Limited Situations. Alaska Sea Grant College Program, University of Alaska Fairbanks, pp. 213-233.
20. Starks T.H., Flatman G.T., 1991, RCRA ground-water monitoring decision procedures viewed as quality control schemes. Environ. Monitoring Assess. 16, 19-37
21. Whetherill G.B., Brown D.W., 1991, Statistical process control: theory and practice. London, Chapman & Hall.
22. Woodall W.H., Adams B.M., 1993, The statistical design of Cusum charts. Qual. Eng. 5, 559-570.