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Richard Hardy
Richard Hardy
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Can you use AIC/BIC to compare models on untransformed data with models on transformed data (such as log, inverse hyperbolic sine, etc). i)? I.e. if a model using logged data gives an AIC = 53.62 and a model using the the non-logged data gives an AIC = 150.6, can you say that the logged model is better even though the scale of the data is different between the two models?

Can you use AIC/BIC to compare models on untransformed data with models on transformed data (such as log, inverse hyperbolic sine etc). i.e if a model using logged data gives an AIC = 53.62 and a model using the the non-logged data gives an AIC = 150.6 can you say that the logged model is better even though the scale of the data is different between the two models?

Can you use AIC/BIC to compare models on untransformed data with models on transformed data (such as log, inverse hyperbolic sine, etc.)? I.e. if a model using logged data gives an AIC = 53.62 and a model using the the non-logged data gives an AIC = 150.6, can you say that the logged model is better even though the scale of the data is different between the two models?

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David King
David King
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AIC/BIC and data transformation

Can you use AIC/BIC to compare models on untransformed data with models on transformed data (such as log, inverse hyperbolic sine etc). i.e if a model using logged data gives an AIC = 53.62 and a model using the the non-logged data gives an AIC = 150.6 can you say that the logged model is better even though the scale of the data is different between the two models?