Sentence examples for generated mortality from inspiring English sources

The effects of PM on mortality were explicitly specified and incorporated in the generated mortality time series.

The standard and moving total models that are being fit to the generated mortality time series are identical except for the specification of the mortality response variable: For the standard models, a single day's mortality count is used, whereas for the moving total models a moving total mortality count is used.

The standard model was fit to each generated mortality time series using in turn the current day's PM (standard model – lag 0), the previous day's PM (standard model – lag 1), and the 2 day's previous PM (standard model – lag 2) as the PM exposure measure (PM t in Equation 1).

The moving total model was fit to each generated mortality time series using the current day's PM as the PM exposure measure (PM t in Equation 2) and 2-, 3-, 4-, and 5-day moving total mortality counts (k = 2, 3, 4, 5 in Equation 2).

To generate mortality estimates for fish that are captured and released in recreational and commercial fisheries, it is common to temporarily hold fish in captivity.

Despite the early contribution of Törnqvist in the middle of the twentieth century (Alho and Spencer 2005), generating mortality forecasts with probability statements using (simulation-based) Bayesian inference is still relatively new.

However, relying on the presented results here, we can give initial recommendations regarding some selection criteria in order to generate mortality forecasts (for developed countries) with the proposed model.

We generate mortality forecasts with three extensions of the LC model proposed by Renshaw and Haberman (2003; 2006), applying the R-packages ilc (Butt and Haberman 2010b) and demography (Hyndman et al. 2015).

While the feeding method proved unsuccessful at killing the flies, the pricking technique did generate mortality within the populations.

Second, size-dependent predation generates mortality decreasing with body size according to (6a) where cs is the maximum instantaneous predation mortality rate and ℓs is the size at which the predation mortality is decreased by the factor 1/ e.

We used the 730 days of data from Seattle, Washington, along with the specification of Model [1] to generate mortality time series where the effect of PM2.5 on mortality was known.