We adopt a popular adjustment criterion, the
Bayesian information criterion (BIC), and base the
values on a log scale, written as follows: BIC =
-2LL + k ln(n), where LL is the log-likelihood
value, k is the number of parameters, and n is the
sample size. This criterion measures the efficiency of
We adopt a popular adjustment criterion, theBayesian information criterion (BIC), and base thevalues on a log scale, written as follows: BIC =-2LL + k ln(n), where LL is the log-likelihoodvalue, k is the number of parameters, and n is thesample size. This criterion measures the efficiency of
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