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 -
Birnbaum-Saunders distribution
Contaminant concentration
Maximum likelihood and moment estimation
Monte Carlo simulation
R software
X-bar charts
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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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