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A more general approach, which can be used for balanced and unbalanced designs, is based on residual maximal likelihood (REML).
Our objective was to design an improved murine femur fracture device and determine optimal mass and velocity settings for maximal likelihood of transverse fracture.
It is proposed in the paper the interval data fusion procedure intended for determination of an interval to be consistent with maximal number of given initial intervals (not necessary consistent among each other) and to be with maximal likelihood including a value x∗ that can serve as representative of all the given intervals.
Maximal likelihood analysis was conducted to obtain the best estimates of parameters of the Lyman NTCP model.
Such maximal likelihood relative to e would not necessarily alter h1's lunacy.
We fit each distribution in figures with maximal likelihood estimation (MLE) (Newman 2005Clauset et al. 2009).
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The goal is to determine the parameters ω and θ such that the probability of the observed sample is maximal (maximum likelihood paradigm).
Using simulated annealing [ 31] we have calculated the (maximal) likelihoods p that the connectivity correlation pattern shown in fig. 3a resulted from either an asymmetric process, or a symmetric process, respectively, by maximizing p with respect to f k and g k.
We employ virtual-noise (VN -based demodulation, maximum likelihood (ML) demodulation, cooperatiVN -basedl ratio combining (C-MRC), andemodulationhood-ratio-based transmaximums in mitigating error propagation effect encountered in DF cooperative networks.
The maximal solutions of the optimization problem (1) are the so-called maximum likelihood estimators of the two Weibull parameters.
Observed and predicted yield were then compared with non-spatial statistics, but also with wavelet transforms (i.e. the adapted maximal overlap discrete wavelet transform) and geostatistics (i.e. a linear mixed model estimated by residual maximum likelihood).
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