The efficacy of existing mortality models to predict fire-induced tree mortality is central to effective forest management.
We were not able to validate or develop acceptable logistic mortality models or thresholds for C. nootkatensis or T. plicata.
Evaluation of the performance of the, APACHE (acute physiology and chronic health evaluation) III ICU andhospital mortality models at an Australian tertiary adult ICU.
Current fire mortality models are limited to a few species and regions, notably Pinus ponderosa and Pseudotsuga menziesii in the western United States.
We analyse the design of the Kortis bond, develop suitable mortality models to analyse its payoff and discuss the key risk factors for the bond.
We examined the performance of several generalized linear fixed- and mixed-effects individual-tree mortality models for Douglas-fir stands in the Pacific Northwest.
Fitting and forecasting results from the empirical study have shown superior performances of the model over a selection of well-known mortality models in the current literature.
This study validated 54 logistic regression mortality models from seven published articles and two sets of mortality guidelines from two sources.
Given the general uncertainty related to large scale forestry scenario analyses, and the uncertainty related to mortality as a phenomenon, the mortality models presented in this paper were considered to have an appropriate level of reliability.
The purpose of this study was to compare the performance of the UHC with the Society of Thoracic Surgeons (STS) risk-adjusted mortality models for adult cardiac surgery and evaluate the contribution of postoperative complications on model performance.
Nonparametric kernel smoothing techniques have been applied in the literature of mortality modeling and based on the findings from Li et al.'s (2015) study, such techniques can significantly improve the forecasting performance of mortality models.
