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A limitation to application of the prediction models developed is that the risk score is based on a regression equation and cannot be easily computed without the assistance of a computer or similar device.
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The models developed are as below.
The four models developed are presented in the following sections.
The models developed were verified with published experimental data.
Analysis of variance reveals that the models developed are adequate.
The models developed are compared to the existing model adopted by FIP Committee.
Formal methods help to ensure that the models developed are correct and reliable to overcome the disadvantages of simulation.
The models developed were validated and proved to be valid when considering different data sets.
The models developed were found to give acceptable inferential estimates and one-step-ahead predictions.
The numerical models developed were later used to establish neural network training data.
The models developed were used to find optimal parameters for the desired geometric criteria.
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