Statistics of Weibull Record-Breaking Events

The statistics of record-breaking events plays an important role in the analysis of natural physical systems. It can provide an additional insight into the mechanisms and the occurrence of extreme events. In this work, the statistical aspects of the record-breaking events drawn from the Weibull dist...

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Main Author: Robert Shcherbakov
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/3/635
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author Robert Shcherbakov
author_facet Robert Shcherbakov
author_sort Robert Shcherbakov
collection DOAJ
description The statistics of record-breaking events plays an important role in the analysis of natural physical systems. It can provide an additional insight into the mechanisms and the occurrence of extreme events. In this work, the statistical aspects of the record-breaking events drawn from the Weibull distribution are considered and analyzed in detail. It is assumed that the underlying sequences of events are independent and identically distributed (<i>i.i.d.</i>). Several statistical measures of record-breaking events are analyzed. Exact analytical expressions are derived for the statistics of records. Particularly, the distributions of record magnitudes and the corresponding average magnitudes of records in case of Weibull distributed events are derived exactly for any specific record order and time step. In addition, a convolution operation is used to derive a recursive formula for the distribution of times of the occurrence of records. The analytical results are compared with the Monte Carlo simulations and their validity is confirmed. The numerical simulations also reveal that the finite-size effects strongly affect the statistics of records and need to be considered during the analysis of numerical experiments or empirical data.
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spelling doaj.art-be3f4e8a970d4f0eb03d9d5aaeea0e0e2023-11-16T17:22:26ZengMDPI AGMathematics2227-73902023-01-0111363510.3390/math11030635Statistics of Weibull Record-Breaking EventsRobert Shcherbakov0Department of Earth Sciences, Western University, London, ON N6A 5B7, CanadaThe statistics of record-breaking events plays an important role in the analysis of natural physical systems. It can provide an additional insight into the mechanisms and the occurrence of extreme events. In this work, the statistical aspects of the record-breaking events drawn from the Weibull distribution are considered and analyzed in detail. It is assumed that the underlying sequences of events are independent and identically distributed (<i>i.i.d.</i>). Several statistical measures of record-breaking events are analyzed. Exact analytical expressions are derived for the statistics of records. Particularly, the distributions of record magnitudes and the corresponding average magnitudes of records in case of Weibull distributed events are derived exactly for any specific record order and time step. In addition, a convolution operation is used to derive a recursive formula for the distribution of times of the occurrence of records. The analytical results are compared with the Monte Carlo simulations and their validity is confirmed. The numerical simulations also reveal that the finite-size effects strongly affect the statistics of records and need to be considered during the analysis of numerical experiments or empirical data.https://www.mdpi.com/2227-7390/11/3/635record-breaking eventsinterevent timesWeibull distributionMonte Carlo simulationsfinite-size effects
spellingShingle Robert Shcherbakov
Statistics of Weibull Record-Breaking Events
Mathematics
record-breaking events
interevent times
Weibull distribution
Monte Carlo simulations
finite-size effects
title Statistics of Weibull Record-Breaking Events
title_full Statistics of Weibull Record-Breaking Events
title_fullStr Statistics of Weibull Record-Breaking Events
title_full_unstemmed Statistics of Weibull Record-Breaking Events
title_short Statistics of Weibull Record-Breaking Events
title_sort statistics of weibull record breaking events
topic record-breaking events
interevent times
Weibull distribution
Monte Carlo simulations
finite-size effects
url https://www.mdpi.com/2227-7390/11/3/635
work_keys_str_mv AT robertshcherbakov statisticsofweibullrecordbreakingevents