@inproceedings{d70fff0e89604eafa7196b99565aa216,
title = "Monitoring environmental risk by a methodology based on control charts",
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.",
keywords = "Birnbaum-Saunders distribution, Contaminant concentration, Maximum likelihood and moment estimation, Monte Carlo simulation, R software, X-bar charts",
author = "Helton Saulo and Victor Leiva and Fabrizio Ruggeri",
note = "Funding Information: The authors wish to thank the Editors of the volume “Risk Assessment Challenges: Theory and Practice” of Springer Proceedings in Mathematics and Statistics, Dr. Christos Kitsos and Dr. Teresa A. Oliveira, and three anonymous referees for their constructive comments on an earlier version of this manuscript which resulted in this improved version. This research was partially supported by FONDECYT 1120879 grant from Chile, and by CAPES, CNPq and FACEPE grants from Brazil. H. Saulo thanks Universidade Federal de Goi{\'a}s from Brazil for supporting this research. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; null ; Conference date: 30-05-2013 Through 01-06-2013",
year = "2015",
doi = "10.1007/978-3-319-18029-8_14",
language = "English",
isbn = "9783319180281",
series = "Springer Proceedings in Mathematics and Statistics",
publisher = "Springer New York LLC",
pages = "177--197",
editor = "Alexandros Rigas and Kitsos, {Christos P.} and Sneh Gulati and Oliveira, {Teresa A.}",
booktitle = "Theory and Practice of Risk Assessment - ICRA5 2013",
}