FN Archimer Export Format
PT J
TI Detection of changes in time-series of indicators using CUSUM control charts
BT 
AF MESNIL, Benoit
   PETITGAS, Pierre
AS 1:1;2:1;
FF 1:PDG-DOP-DCN-EMH;2:PDG-DOP-DCN-EMH;
C1 IFREMER, Dept EMH, F-44311 Nantes 3, France.
C2 IFREMER, FRANCE
SI NANTES
SE PDG-DOP-DCN-EMH
IN WOS Ifremer jusqu'en 2018
IF 1.227
TC 36
UR https://archimer.ifremer.fr/doc/2009/publication-6689.pdf
LA English
DT Article
DE ;Aquatic resource monitoring;CUSUM;Statistical process control
AB Statistical Process Control (SPC) methods are extensively used in manufacturing contexts to monitor production processes. This article illustrates their potential utility for monitoring the state of marine ecosystems, using survey indicators. We exemplify the use of one SPC tool, the cumulative sum (CUSUM) control chart, to detect persistent changes in the state of a system as new observations are collected, using simulated and real data. Practical guidelines are given on how the chart parameters can be tuned to achieve an acceptable compromise between the ability to detect anomalies quickly and keeping the risk of false alarms low. The common performance measures associated with control charts depend on some key assumptions being met, and the potential impact of their violation is indicated.
PY 2009
PD APR
SO Aquatic Living Resources
SN 0990-7440
PU EDP Sciences
VL 22
IS 2
UT 000267128000008
BP 187
EP 192
DI 10.1051/alr/2008058
ID 6689
ER

EF