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Statistical Considerations in Calibrating Performance Models with Field Data
This paper highlights and discusses important statistical considerations in calibrating performance models with field data. These considerations include realistically modeling the mean and variance of the data, incorporating multiple sources of data in the calibration, and accounting for uncertainty in the calibrated model when making new predictions with it.
Statistical Considerations in Calibrating Performance Models with Field Data
This paper highlights and discusses important statistical considerations in calibrating performance models with field data. These considerations include realistically modeling the mean and variance of the data, incorporating multiple sources of data in the calibration, and accounting for uncertainty in the calibrated model when making new predictions with it.
Statistical Considerations in Calibrating Performance Models with Field Data
Gilbert, Robert B. (author) / McBrayer, Mickey C. (author) / Tang, Wilson H. (author)
Specialty Conference on Performance Confirmation of Constructed Geotechnical Facilities ; 2000 ; Amherst, Massachusetts, United States
2000-04-03
Conference paper
Electronic Resource
English
Statistical Considerations in Calibrating Performance Models with Field Data
| British Library Conference Proceedings | 2000
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