We propose amethodology based on control charts when the contaminant concentration follows a Birnbaum-Saunders distribution, which is implemented in the R software.We investigate the performance of this methodology through Monte Carlo simulations. An example with real-world data is given as an illustration of the proposed methodology.

Monitoring environmental risk by a methodology based on control charts

F Ruggeri
2015

Abstract

We propose amethodology based on control charts when the contaminant concentration follows a Birnbaum-Saunders distribution, which is implemented in the R software.We investigate the performance of this methodology through Monte Carlo simulations. An example with real-world data is given as an illustration of the proposed methodology.
2015
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Inglese
Rigas A.,Kitsos C.P.,Gulati S.,Oliveira T.A.
Theory and Practice of Risk Assessment
5th International Conference on Risk Analysis, ICRA5 2013
136
177
197
http://link.springer.com/chapter/10.1007%2F978-3-319-18029-8_14
Sì, ma tipo non specificato
30/5 to1/6/2013
Tomar,Portugal
Birnbaum-Saunders distribution
Contaminant concentration
Maximum likelihood and moment estimation
Monte Carlo simulation
R software
X-bar charts
3
restricted
Saulo, H; Leiva, V; Ruggeri, F
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/314308
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