Sentence examples for using the average information from inspiring English sources

Additive genetic and residual variances were estimated using the average information restricted maximum likelihood procedure.

The variance components were estimated using the average information restricted maximum-likelihood algorithm (Jensen et al. 1997), as implemented in the software package dmu (Madsen et al. 2006).

Variance and covariance components were estimated using the average information restricted maximum likelihood algorithm [ 59] implemented by the DMU package [ 60].

Variances and covariances in the GBLUP models were estimated using the "average information" restricted maximum likelihood algorithm, and the GBLUP analyses were conducted using the DMU Package [ 16].

Parameters were estimated using the average information algorithm for restricted maximum likelihood (AI-REML) included in the DMU-package of Madsen and Jensen [ 11].

GCTA solves the linear mixed model (LMM) and obtains estimates of genetic and residual variances by restricted maximum likelihood (REML) using the average information (AI) algorithm.

We used the average information algorithm (Gilmour et al. 1995) as implemented in GCTA (Yang et al. 2011) to find the restricted maximum-likelihood estimates of the narrow sense heritability, h = v1/Var(Y), and the proportion of phenotypic variance from pairwise interactions, h 2 2 = v 2 / Var (Y ).

After processing in Guineu all peaks were manually investigated by using the average spectra information, obtained from Guineu, in NIST MS Search 2.0 to search against the same libraries as previously used.

This conversion would ideally be based on individual height and age, but lacking this information, using the average values provides a reasonable approximation given the relatively narrow age and height ranges within the study (57.50 +/− 2.58 and 174.42 +/− 2.33, respectively).

Surprisingly, not only is the transmitted information for the central responses considerably higher than for the medoid responses, it is also higher than the transmitted information calculated using the average distances; both with z = 1 and, marginally, with z = − 2. The results for the central, medoid, and function average are graphed in Fig. 3.

If the developer provides such function, it can achieve high compression levels by taking into account the specific context attributes of his application (e.g., using the average speed instead of individual speed information in a traffic monitoring application).