Nonlinear modelling of experimental rock failure data

Daniel Tait, N. Geiger, Bruce Worton, Andrew Bell, Ian Main

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we investigate nonlinear models for rock failure data.
The complexities of estimation and analysis using sample experimental data are
studied when fitting a power-law type model. Both the high frequency of sampling
of observations during the experiment, as well as the nature of the model with
high levels of correlation of the parameter estimators result in some challenging
issues in the modelling.
Original languageEnglish
Title of host publicationProceedings of the 31st International workshop on Statistical Modelling Volume II
Pages151-154
Number of pages5
Publication statusPublished - 8 Jul 2016
Event31st International Workshop on Statistical Modelling - Rennes, France
Duration: 4 Jul 20168 Jul 2016

Conference

Conference31st International Workshop on Statistical Modelling
CountryFrance
CityRennes
Period4/07/168/07/16

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