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Several criteria were used, one based on likelihood maximisation (MLE) and two based on discriminative criteria (FD and FDW).
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Fixed effects were selected based on likelihood ratio tests on nested models.
c Multi-bits based on likelihood ratio [6].
Scan statistics are based on likelihood ratio tests.
Tests of all hypotheses were based on likelihood ratio tests.
We consider an alternative inference method based on likelihood ratio.
c P-value based on likelihood ratio test (LRT).
Reported p values are based on likelihood ratio tests.
Subsequently, model simplifications were based on likelihood ratio tests.
P1, based on Likelihood Ratio Test, comparison with null model.
* P values are based on likelihood-ratio test.
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