Viruses, particularly those with RNA genomes, are an ideal data set to compare the impact of substitution models on estimates of genetic distance because of the rapidity of their evolution.
The model focuses on estimates of biomass potentials at regional - or county - level or even in the immediate surroundings of bioenergy facilities (S Brozio, personal communication).
The model builds on estimates of the number of adults with specific mental illnesses, the available treatments, and the staff and facilities required to treat each condition.
Methods have been proposed in the literature to adjust the baseline disease risk in the fitted model based on estimates of disease prevalence in the population.
This study has analyzed the effects of point density and LiDAR data model on AGB estimates.
Many unemployment-forecasting models rely on estimates of economic growth, or other macroeconomic data.
After choosing models based on estimates of AICs and weights of evidence, analyses of residuals were carried out to assess the quality of the adjustments (Dobson 2002).
Most models depend on estimates of the probability that untreated patients with malaria or bacterial illnesses will progress to severe disease or death.
The number of humpback whales alive before whaling (pre-whaling abundance) was estimated using population models based on estimates of removal and present-day abundance to be between 21,000 and 24,000 whales [59], [60].
However, for some countries (Chinese Taipei, Finland, Sweden), the influence of the scaling model on the estimated fixed effects (hat{beta }_3) was very low.
