Sentence examples for prediction error variance from inspiring English sources

The minimum required accuracy (as derived from the prediction error variance and representing the correlation between predicted and true breeding value) of an industry sire's ASBV to be included in the validation population was 0.64 for WS and 0.70 for other breeds.

The SNPs in GBLUP predict relationships over long genetic distances, which reduces the prediction error variance and increases bias but apparently not to the point that the haplotype models are clearly favoured.

Higher correlations and lower prediction error variances will be associated with fitted models that are better at predicting breeding values than models with low correlations and high prediction error variance.

The reference method under-estimated the prediction error variance.

Connectedness between the reference populations and evaluated animals was calculated using the prediction error variance.

It is possible to compute the prediction error variance for a prediction by this lognormal kriging procedure.

Existing spatial sampling design optimisation methods are based on minimisation of the spatially averaged prediction error variance under the assumption of intrinsic stationarity.

These input sequences exploit the third-order Volterra model structure and use the prediction error variance expression as a measure of model fidelity.

Results show that (i) the proposed non-stationary variance model outperforms the stationary variance model, and (ii) a small but significant decrease of the rainfall prediction error variance is obtained with the optimised rain-gauge network.

Results for a range of sample sizes and contrasting properties of the underlying random variables show that there is an improvement on adding just a few sample points and close pairs, and a rather slower increase in the prediction error variance as the proportion of sample points allocated in this way is increased above 10 to 20% of the total sample size.

The parameters,, are computed from the LP coefficients and the prediction error variance as (2).