Towards combining probabilistic and interval uncertainty in engineering calculations (2004)
| Venue: | Proceedings of the Workshop on Reliable Engineering Computing |
| Citations: | 5 - 5 self |
BibTeX
@INPROCEEDINGS{Starks04towardscombining,
author = {S. A. Starks and V. Kreinovich and L. Longpré and M. Ceberio and G. Xiang and R. Araiza and J. Beck and A. Nayak and R. Torres},
title = {Towards combining probabilistic and interval uncertainty in engineering calculations},
booktitle = {Proceedings of the Workshop on Reliable Engineering Computing},
year = {2004},
pages = {193--213}
}
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Abstract
Abstract. In many engineering applications, we have to combine probabilistic and interval errors. For example, in environmental analysis, we observe a pollution level x(t) in a lake at different moments of time t, and we would like to estimate standard statistical characteristics such as mean, variance, autocorrelation, correlation with other measurements. In environmental measurements, we often only know the values with interval uncertainty. We must therefore modify the existing statistical algorithms to process such interval data. Such modification are described in this paper.
