The phrase "validation between" is a correct and usable phrase in written English.
You can use it when referring to the process of reaffirming or establishing the truth, accuracy, or validity of something. For example, "We need to conduct validation between the two models to ensure accuracy."
Furthermore, main study results will be used to evaluate the validity of the model(s) with internal validation techniques (bootstrapping) and cross validation between the three settings whereby each setting acts as a test-population for model(s) developed in the other settings [ 81].
A cross validation between the analytical model and experimental results is provided.
A PKI provides many services, and the most important is a trusted third-party validation between the counterparts in VANETs.
Validation between the prediction and the experimental results shows that this combined approach may provide a more satisfactory result in terms of fatigue limit for quick engineering prediction.
The criteria are appropriate for conservative risk management because of the cross validation between rainfall datasets and hazard class in the case of actual damage status on the representative nine expressway sections (see Sect. 5.2).
Additionally, a simultaneous validation between the sensor developed and a commercial device corroborates the potential application of this kind of low-cost sensing nanostructures presented in this work (Herran et al. 2014).
This is followed by a relatively short interval of iterations where validated and invalidated propositions are mixed: 46% of validations between iterations 151 and 200, and 20% between 201 and 250.
Inter-validation between satellite and SO2-flux derived TADR is valid only when the pre-eruptive sulfur content is constant.
Approaches such as cross-validation between different sources of data will also raise the external validity of the models and minimize bias.
Operationally, the idea is the coherence of the results obtained by applying a model, a sort of cross-validation between the expected and actual precision of estimate.
The cross-validation between numerical modelling results and monitoring data can play a major role in the development of carbon capture and storage technology.
