Sentence examples for variance of mean from inspiring English sources

The model with a 31 m riparian stream buffer width accounted for the highest variance of mean annual TN (r2 = 0.9366) and TP (r2 = 0.7503) yield (mass for a specified time normalized by drainage area).

Figure 11 Variance of mean packet delay per node over delivered traffic for the 802.11, the MUD-MAC and the PBOA protocol with 50 nodes in a 500 m × 500 m random network.

In the continental US, the total variance of mean forest biomass density (98.06 t/ha) increases by a factor of 3.6 ×, i.e., from 1.91 to 6.94 t2/ha2, when plot-ALS model variance is included in the calculation of total variance.

Using the relationship developed by Mugabe et al. (2007), the Malilangwe catchment area is about 200 km2 and with mean annual rainfall of 562 mm, runoff was calculated at 50 mm and the coefficient of variance of mean annual runoff was 120.3 %.

Table 2 presents the results of analysis of variance of mean unit scores for culture, leadership, evaluation and research use.

Thus, in the conventional analysis we used mean TNB and the log-transformed variance of mean TNB (log var TNB))) per sow.

It is defined as the variance of means (between class) / mean of variances (within class).

Finally, since the QP used by H.264 is designed to change the quantization step size and the relationship between the QPs is well defined, this relationship can be used to adjust the thresholds of the statistics (residual, variance of means, means of variance, etc).

One half of the variance of means between the BXD lines estimates additive genetic variance (VA) while, the mean within-strain variance estimates mean environmental variance (VE).

The % variance is the percent of the between-individual variance of means that is explained.

The kriged maps of three different criteria (i.e. marginal entropy of water table levels, estimation error variances of mean values of water table levels, and estimation values of long-term changes in water level) are combined for determining monitoring sub-areas of high and low priorities in order to consider different spatial patterns for each sub-area.