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edited Sep 30, 2019 at 14:15

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According to this in chapter six

 "***when maximum likelihood estimation is used to generate the log-
   likelihoods,then the closer that the log-likelihood(LL) is to zero, 
   the better is the model fit.***"

When maximum likelihood estimation is used to generate the log-likelihoods, then the closer that the log-likelihood(LL) is to zero, the better is the model fit.

So we can say that AFT1 better than AFT2

According to this in chapter six

 "***when maximum likelihood estimation is used to generate the log-
   likelihoods,then the closer that the log-likelihood(LL) is to zero, 
   the better is the model fit.***"

So we can say that AFT1 better than AFT2

According to this in chapter six

When maximum likelihood estimation is used to generate the log-likelihoods, then the closer that the log-likelihood(LL) is to zero, the better is the model fit.

So we can say that AFT1 better than AFT2

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created Dec 4, 2017 at 1:31

Abdal

According to this in chapter six

 "***when maximum likelihood estimation is used to generate the log-
   likelihoods,then the closer that the log-likelihood(LL) is to zero, 
   the better is the model fit.***"

So we can say that AFT1 better than AFT2