caa a22 4500 469064625 CHVBK 20180323132904.0 cr unu---uuuuu 170328e19921001xx s 000 0 eng 10.1007/BF00890701 doi (NATIONALLICENCE)springer-10.1007/BF00890701 Ho Chih-Hsiang Department of Mathematical Sciences, University of Nevada, Las Vegas, 4505 Maryland Parkway, 89154, Las Vegas, Nevada aut Statistical control chart for regime identification in volcanic time series [Elektronische Daten] [Chih-Hsiang Ho] In an important paper, Mulargia et al. (1987) address the importance of quantitative and objective identification of different regimes of a volcano. They develop a procedure based on the two-sample Kolmogorov-Smirnov (K-S) statistic. The K-S test is a general-purpose test that discriminates between two data sets as belonging to two different regimes based on their empirical distribution functions. The empirical distribution function is designed to describe the aggregate behavior of the volcanic activity, and it is constructed from the orders of the length of the collected repose times in each data set. In this article, we use the idea of statistical process control to distinguish between the variation inherent in the observed repose times and the extraordinary variation that signals a real change in the regimes. We construct a table of control limits, and we demonstrate the procedure of regime identification based on a simple control chart. It shows a point outside the control limits almost as soon as the process enters a new regime. The basis of the statistical process control mechanism is a simple Poisson process, which is state of the art. The proposed control charting procedure is an eruption by eruption procedure, which follows the original chronological order of the eruptions. This procedure is applied to the eruptive history of the Mount Etna volcano. The application shows schematically that the procedure presents a visual interpretation of the identified regimes and can be practically translated for tabular or manual use. International Association for Mathematical Geology, 1992 exponential distribution nationallicence process control nationallicence Weibull Poisson process nationallicence Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/7(1992-10-01), 775-787 0882-8121 24:7<775 1992 24 11004 https://doi.org/10.1007/BF00890701 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00890701 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Ho Chih-Hsiang Department of Mathematical Sciences, University of Nevada, Las Vegas, 4505 Maryland Parkway, 89154, Las Vegas, Nevada aut NATIONALLICENCE 773 0- Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/7(1992-10-01), 775-787 0882-8121 24:7<775 1992 24 11004 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer