@misc{Hryniewicz_Olgierd_(1948–_)_Performance_2010,
 author={Hryniewicz, Olgierd (1948– ) and Karpiński, Janusz and Olwert, Anna},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2010},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={Shewhart control charts were originally designed under the assumption of independence of consecutive observations. In the presence of dependence the authors usually assume dependencies in the form of autocorrelated and normally distributed data. However, there exist many other types of dependencies which are described by other mathematical models.The article uses the concept of copulas to model dependencies of other types. Monte Carlo simulation experiments were used to investigate the impact of type and strength of dependence in data on the value of the ARL of Shewhart control charts.},
 title={Performance of the Shewhart control chart in the presence of dependent data},
 type={Text},
 URL={http://www.rcin.org.pl/Content/109173/PDF/RB-2010-15.pdf},
 keywords={Shewhart control charts, Copulas, Karta kontrolna Shewharta, Correlated data, Skorelowane dane, Average run length arl, Kopuły},
}