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If the model fails the verification progress, altering it and subjecting it again to verification; if it persists in fitting the data more poorly than a competing model, it is abandoned.
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Making assumptions about the data: The modeller decides what is influencing the data and what can be safely ignored.
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Verifying the results: Various statistical tests are applied to the data and the model and compared.
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If the model passes the verification progress, putting it into practice.
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A First Course in
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Modelling is generally broken down into several steps:
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