Sentence examples for mean parameters of from inspiring English sources

With this motivation, in the proposed method, variational noise models are formulated by selectively applying perturbation factors to the mean parameters of a basis model, resulting in a collection of noise models that more accurately reflect the natural range of spectral patterns seen in the log-spectral domain.

The last step consists of reestimating weight and mean parameters of each component, in order to obtain real GMMs and not only a codebook of Gaussians.

Calculate the statistical distance between the mean parameters of the test and reference.

The mean parameters of the PD model and their corresponding interindividual variability are shown in Table 2. Values previously obtained for docetaxel by Friberg et al (2002) are indicated for comparison.

The merge move operates by taking two individual points, c j,t and c k,t, and merging them into one new point, c l,t, whose parameters are set to the mean parameters of the previous two points.

Inference on relationship between gene expression and methylation can be made by using posterior distribution of (μ i 1, μ i 2, η i 1, η i 2) t conditional on data and parameter estimates, where μ i 1 and η i 1 are mean parameters of gene expression and methylation in WT and μ i 2 and η i 2 are mean parameters of gene expression and methylation in the resistant cell line.

Each region is represented by a leaf node, and inside that leaf node, a mean parameter of each additive component is written.

At the third and final stage of the trial, we seek an efficient unbiased estimate of μ1 − μ0, where μ0 represents the mean parameter of the control group.

The method is based on a modified F-statistic, where the variance and the mean parameter of the statistic are estimated from a mixture of two normal distributions.

To equalize difficulty across participants and shape and color tasks, we used an adaptive procedure, in which the mean parameter of the array was varied to achieve an accuracy of 75% (low-mean condition) or 85% (high-mean condition).

The parameter k is a result of the theoretical derivation of the univariate CUSUM as a sequential likelihood ratio test for a shift δ in the mean parameter of a normal distribution.