Sentence examples for estimate and prediction of from inspiring English sources

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We would like to reach a more suitable estimate and prediction of the temporal solar variability and its real impact on the Earth climatic models.

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Agreement between MATLAB and SAAM II was warranted by intraclass correlation coefficients ≥0.73; no significant differences between corresponding mean parameter estimates and prediction of HID rate; and consistent residual analysis.

Monitoring cancer incidence, mortality and survival are fundamental indicators which allow estimates and predictions of geographical and temporal changes of these diseases, enabling the design and set-up of adequate cancer control activities and national health programs.

Certainly, more experimental data are needed to increase the precision of estimates and predictions of AS ratios.

By combining estimates and predictions of age-specific and ASRs by rural and urban area, we obtained the estimates of national mortality in 2000 and 2005.

However, confidence intervals for both the parameter estimates and predictions of mortality could only be obtained using an informal numerical approach rather than analytically.

In other words, these are illustrations of estimates and predictions of physical and sensory consequences of the movement: i.e. the so-called internal feedforward (or predictive) models [ 9].

Using data from simulated livestock epidemics, we demonstrate that the proposed dnIGE model provides accurate heritability estimates and predictions of genetic risk for both susceptibility and infectivity for a range of scenarios that are realistic for livestock populations, even when infection times are not accurately known.

Back propagation (This technique is also sometimes called backward propagation of errors) ANN, runoff models applied by Sarkar et al. (2006) to estimate and prediction daily runoff for a part of the Satluj river basin of India.

One can then attempt to recover the virtual species' known distribution by building models from samples drawn from the study area and then evaluate the efficacy of different implementations of models by comparing their parameter estimates and predictions to the true distribution of the species.

All steps in the process (including DNA-content-based microarray data normalization, regression of near-sigmoidal models to estimate replication initiation timing, completion timing and prediction of peaks using PeakFinder) were performed as follows.

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