calibration
1
4.9
- noun
- /ˌkælɪˈbreɪʃən/
- Specialized
:
calibración
- Proper calibration of the model improved the accuracy of our predictions significantly.
- model calibration
- standard calibration
Examples
-
Calibration: Effective calibration is vital to create a model that accurately represents the District's water system operations.
Academic text (1997) -
Thus, the calibration effort typically estimates the posterior distributions of model parameters and the discrepancy term.
Academic text (2018) -
Goals determine the definition of success and failure and thereby affect the calibration of gain and loss.
Academic text (2003) -
Monitoring groundwater reserves serves as primary information used in the development and calibration of computer models.
Academic text (2006) -
To tackle this challenge, the validity of the prediction model needs to be considered within Bayesian calibration.
Academic text (2018) -
The accuracy of the omitted formula will then affect the accuracy of Bayesian calibration results.
Academic text (2018) -
Hosmer-Lemeshow goodness-of-fit statistic is a statistical test that is frequently used to examine the model calibration.
Academic text (2016) -
The calibration of the measuring instruments ensures that our data is reliable and precise.
-
After calibration, the device produced results that closely matched the expected values.
How Reliable
- Specialized
75
4.3
- Specialized
1
4.9
375
2.6
370
2.6
768
1.0
Surface Forms
Morphology
Etymology
The word calibration comes from an old word about 'measure' and is related to the English word caliber which means 'size'. In statistics, calibration is the process of adjusting a model so its probability numbers match real outcomes — in other words, making its measurements the right size, which is why we use the same word.