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.
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 language | English |
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| Title of host publication | Proceedings of the 31st International workshop on Statistical Modelling Volume II |
| Pages | 151-154 |
| Number of pages | 5 |
| Publication status | Published - 8 Jul 2016 |
| Event | 31st International Workshop on Statistical Modelling - Rennes, France Duration: 4 Jul 2016 → 8 Jul 2016 |
Conference
| Conference | 31st International Workshop on Statistical Modelling |
|---|---|
| Country/Territory | France |
| City | Rennes |
| Period | 4/07/16 → 8/07/16 |