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Data were checked for model assumptions and transformed as necessary.
Models were checked for model assumption and fitness.
Logistic regression models were checked for model fit using the Hosmer-Lemeshow test and were evaluated for influential points using delta-beta statistics.
We checked for model stability using bootstraping by excluding data points one by one from the data and comparing the estimates derived with those obtained for the full model.
We also checked for model stability by excluding data points one by one from the data set and comparing the estimates derived with those obtained from the full model.
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For example, the validity of the CAS number and InChI code is checked for Compounds, the presence of mathematical representation is checked for Models, and so on.
The residual analysis is performed to check for model adequacy and assumptions.
Thus these parameters can be used to check for model self-consistency, increasing confidence in the derived composition.
4) The fourth step involves checking for model stability and residual analysis to check for normality, autocorrelation and heteroskedasticity of the residual process.
In order to check for model adequacy, the VECM is subjected to a number of diagnostic tests, namely the normality, serial correlation, heteroscedasticity (BPG and ARCH) and Ramsey RESET tests to ascertain its statistical adequacy.
Standard diagnostics will be applied to check for model fit.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com