Therefore, designing more efficient and faster algorithms for the proposed LRT is necessary in the future, and developing likelihood-ratio based variance component tests in GLMM with the bias-corrected PQL estimation is another interesting problem.
Munk, Mielke, Skipka and Freitag [ 15] developed likelihood ratio tests.
We compared a standard statistical test a score test with a recently developed likelihood ratio (LR) test.
The standard age length key (ALK) approach does not use information from the length frequency distribution, so we develop likelihood-based methods with and without seasonality, growth curves, and cohort-specific growth effects.
The report does much more than pose these questions; it provides a roadmap for prioritizing prevention: Intensify the study of chemical and physical factors that potentially influence the risk of developing and likelihood of surviving breast cancer.
Comparison with the recently developed additive likelihood moment filter reveals the better performance of the proposed TSSG tracker.
Gail et al. (1999) developed maximum likelihood estimation of parameters for autosomal dominant genes with the kin-cohort design.
Considering multiple-bit quantization for digital transmission, we develop maximum likelihood estimators (MLEs) with both known and unknown channel state information (CSI).
Nedumaran et al. (2000) developed maximum likelihood estimator (MLE) approach to estimate step change point in the multivariate normal process mean.
This paper develops maximum likelihood estimates for jointly modelling the mean and covariance matrix, for unbalanced repeated measures, using an unconstrained parametrization.
