2017
DOI: 10.11113/jt.v79.10388
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Change Point Analysis: A Statistical Approach to Detect Potential Abrupt Change

Abstract: Change-point analysis has proven to be an efficient tool in understanding the essential information contained in meteorological data, such as rainfall, ozone level, and carbon dioxide concentration. In this study, change-point analysis was used to discover potential significant changes in the annual means of total rainfall, temperature and relative humidity from 25 years of Malaysian climate data. Two methods, the CUSUM and bootstrap, were used in the analysis, where the CUSUM was used to analyze the data tren… Show more

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Cited by 8 publications
(5 citation statements)
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“…We also determined the different transmission periods (low, intermediate and high) through a change point analysis of the mean using the Pruned Exact Linear Time (PELT) algorithm 22 . The change point analysis is a method applied on a series of time-ordered data to detect whether changes have occurred, determining the number of changes and estimating dates of changes [23][24][25]…”
Section: Statistical Analysis Temporal Analysismentioning
confidence: 99%
“…We also determined the different transmission periods (low, intermediate and high) through a change point analysis of the mean using the Pruned Exact Linear Time (PELT) algorithm 22 . The change point analysis is a method applied on a series of time-ordered data to detect whether changes have occurred, determining the number of changes and estimating dates of changes [23][24][25]…”
Section: Statistical Analysis Temporal Analysismentioning
confidence: 99%
“…Specifically, we considered the spiking activity from 2 s prior to well entry to 4 s following well entry in 100 ms bins. The change point detection was that described by Arif et al (2017). If a single change point was detected prior to well entry, we considered this to be a response.…”
Section: Methodsmentioning
confidence: 99%
“…Specifically, we considered the spiking activity from 2 s prior to well entry to 4 s following well entry in 100 ms bins. The change point detection was that described by Mohd Arif et al (2017) . If a single change point was detected prior to well entry, we considered this to be a response.…”
Section: Methodsmentioning
confidence: 99%