We propose two model selection criteria relying on the bootstrap approach, denoted by QAICb1 and QAICb2, in framework of linear mixed models. Similar to justification Akaike Information Criterion (AIC), proposed QAICb2 are proved as asymptotically unbiased estimators Kullback–Leibler discrepancy between a candidate true model. However, they defined quasi-likelihood function instead likelihood p...