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Then, the binary hypothesis test can be conducted using the generalized likelihood ratio test (GLRT) [17].
The paper concerns the problem of monitoring linear antenna arrays using the generalized likelihood ratio (GLR) test.
Uncertainties of model parameters were estimated using the generalized likelihood uncertainty estimation (GLUE) method and were found to be acceptable.
In this spirit, Sharman and Milanfar [12] have considered the problem of distinguishing whether the observed signal contains one or two frequencies at a given SNR using the generalized likelihood ratio test (GLRT).
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We used the generalized likelihood ratio test [43] to determine whether each biodiversity component has a significant additional contribution to the explanation of ecosystem processes.
Then, relative timing indices and the corresponding CIR estimates of all transmit receive links at the second stage are obtained using the generalized maximum-likelihood estimation based on a sliding observation vector.
The algorithm of edgeR fits a negative binomial model to the count data, estimates dispersion, and measures differences using the generalized linear model likelihood ratio test which is recommended for experiments with multiple factors, such as the simultaneous analysis of the effects of age and diet in our study.
The algorithm of edgeR fits a negative binomial model to the count data, estimates dispersion, and measures differences using the generalized linear model likelihood ratio test which is recommended for experiments with multiple factors, such as the simultaneous analysis of age and diet in our study.
Here, the timeliness is assessed by the detection time window, which constitutes the number of weeks that are used within the height of the scanning window to calculate the expected and observed number of cases (used for the generalized likelihood ratio).
Multiple linear regression models with errors that were correlated or had unequal variances were fitted using the generalized least squares and maximum likelihood estimation.
The Bayesian analysis summary comprises the model selected by MrModeltest, the harmonic mean of the estimated marginal likelihoods and the partitioning strategy indicated in brackets; an asterisk indicates the value is the re-estimated marginal likelihood using the generalized stepping stone model.
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