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composite likelihood test.
GMM and generalised empirical likelihood test statistics are suggested.
A likelihood test was applied to determine the null and the alternative hypotheses (Yang, 1997, 1998).
The present study also employs a cointegration technique using maximum likelihood test statistics.
Analysis according to the likelihood test revealed significant difference in mortality.
Variance components were estimated and restricted maximum likelihood test statistics were calculated at the midpoint of each marker interval.
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Also in [24], Su et al. described a likelihood test-based modulation classification method for identifying the modulation scheme of SDR in real-time without pilot transmission.
From the estimated parameters, the receiver will compute a threshold and a log-likelihood test.
A cross-likelihood test is presented and extended to hidden Markov models, which allow modeling temporal characteristics of the signals.
The cross-likelihood test has been previously used with HMMs to cluster time-series data in [29].
The greater is the discrimination between the two distributions involved in the log-likelihood test, the best is the authentication performance.
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