Sentence examples for specification of prediction from inspiring English sources

Although likely missing at random, missing data were imputed using an iterative method that imputes multiple variables by using chained equations, a sequence of univariate imputation methods with fully conditional specification of prediction equations [ 63].

The procedure uses a sequence of univariate imputation methods with fully conditional specification of prediction equations; in all six complete datasets the missing blood pressure and HbA1c values were imputed and the change in risk factors were calculated as for the original data.

More recently, Park et al. (2010) pointed out the importance of the winner's curse adjustment in meta-GWAS analysis and in specification of risk prediction models.

The number of GO function terms predicted for each gene also affects the sensitivity and specification of gene function prediction.

These two approaches evaluate different prediction models and approach (1) is sensitive to the appropriateness of the second imputation procedure while approach (2) is sensitive to the correct specification of the partial prediction models.

Details of the sampling and measurement protocols can be found in Gauderman et al. (2005) and of the specification of the exposure prediction variables in Molitor et al. (2006).

The empirical model of ionospheric irregularities based on ROTI data is actually for space weather studies and transionospheric radio propagation applications, i.e., estimation, specification, and prediction of the probability and area of ionospheric irregularity development and their dependence on solar and geomagnetic activity.

specification and prediction of the coupled inner-magnetospheric environment.

Largely sophisticated applications are assimilative efforts of ground- and satellite-based observations into physical background models that allow the specification and prediction of the global ionosphere (e.g., Schunk et al., 2005).

An important problem in the analysis of computer experiments is the specification of the uncertainty of the prediction according to a meta-model.

We expect that with more freedom in the specification of the set of models, prediction errors with overfitted models may be worse.