Sentence examples for estimates of common from inspiring English sources

Data were analyzed using Student's t-test for comparison of independent means with pooled estimates of common variances.

The aim of this work was to compare parameters and bycatch estimates of common dolphins (Delphinus delphis) provided by observer programmes in France and UK national reports and those inferred from stranding data, through two approaches.

In England, the linkage between general practice records and hospital admission data has led, among others, to improving incidence estimates of common conditions such as pneumonia (Millett et al. 2016).

The marginal posterior estimates of common basis [ Â r ] ij, individual basis [ Â h ] ij and their reconstruction weights [ Ŝ r ] jk and [ Ŝ h ] jk are calculated by finding the following sample means, e.g., [ Â r ] ij = 1 t max − t min ∑ t = t min + 1 t max [ A r ] ij ( t ).

Briefly, counts were normalized within samples, and negative binomial linear models applied, allowing gene-level variance to be quantified using Cox-Reid estimates of common and tagwise dispersions.

We explored the prevalence estimates of common chronic health conditions and compared these estimates to those of multimorbidity as defined by the three different methods.

The coefficients of all other regressors that are included in Table 5 are virtually unchanged (except for the point estimate of common border, that now becomes large and significant).

To facilitate normalization and to calculate a more meaningful estimate of common dispersion, we chose to use a housekeeping (HK) gene approach.

Bivariate analyses controlling for family functioning are shown in table 2 and it can be seen that this exerted only a slight effect on the estimate of common environmental covariation (drop of Cc from.36 to.31).

The DHGLM2 (sire-dam model) and the classical linear mean animal model gave similar estimates of genetic (after appropriate rescaling) and common environmental variances on the mean, whereas the DHGLM1 (animal/sire-dam model) produced a considerably lower (~ −70%) estimate of genetic variance and a much larger (~ +300%) estimate of common environmental variance on the mean.

A test is available for determining if SA, represents a sufficient indicator of the common variance or if a statistically orthogonal SB must be specified owing to an additional set of coefficients that capture a significantly incremental estimate of common explained variance.