observations. It does not require predictions or observations to meet the requirements of interval or ratio measurement scales. In …Most traditional strategies of assessing the fit between a simulation's set of predictions (outputs) and a set of … relevant observations rely either on visual inspection or squared distances among averages. Here we introduce an alternative …

criterion (BIC), adjusted R2, Mallows' Cp, Akaike information criteria (AIC), AICc, and stepwise regression] using Monte … theory, both BIC and stepwise appear to be reasonable model selection strategies in large samples. Under the conditions … uncertainty in model specification should be explicitly discussed. In large samples, BIC is better than the other procedures at …

, generalto- specific, minimum t-statistics, BIC and AIC. We propose a new method and show that it has good finite sample … to the number of observations. This makes it infeasible to condition on all variables in order to determine the …

Akaike information criterion (AIC) and the Bayesian information criterion (BIC). This paper considers several topics: how AIC …, the effect of using a maximum lag on model selection, and the forecasting performance of combining AR(4), AIC, and BIC … and BIC choose lags in autoregressive models on actual series, how models so selected forecast relative to an AR(4) model …

maximization of log-likelihood with Cp, AIC, and BIC penalties, bootstrap and cross-validation error estimation, and coefficient …

Criterion (AIC)?, and (ii) Is BIC better than AIC for forecasting purposes? By using simulated data, we provide statistical … type-I error. Both testing procedures deliver the same result: The BIC shows an in- and out-of-sample superiority over AIC …We test two questions: (i) Is the Bayesian Information Criterion (BIC) more parsimonious than Akaike Information …

count data with extra zeros. The distributional theory and associated properties are developed. Maximum likelihood estimates … available. Two real data sets are used to illustrate the proposed methods. Under both AIC and BIC, our analysis of the two data …, respectively. Asymptotic and bootstrap confidence intervals of parameters are provided. Likelihood ratio test and score test are …