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Exponential difference equations can be used to study the models in population dynamics [1 3].
An application of our results gives a precise description of the basis of attraction of all attractors of several difference equations, which are feasible models in population dynamics.
These processes are encountered, for example, in mathematical models in population dynamics as well as in models of propagation of perturbation in matter with memory.
Models in population ecology are based on representing an ecological system as the set of populations (of the same or different species) it consists of.
Also note that many existing models of cultural change are derived from models in population genetics, and the roles that coherence plays in POPCO models suggest properties that are important in biological evolution epistasis, pleiotropy, and genetic distance.
As an application of our results we give the global dynamics of three feasible models in population dynamics which includes the nonlinearity of Beverton-Holt and sigmoid Beverton-Holt types.
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Because of the difficulty in accurately estimating PPV and NPV in case-control data, it is essential to validate models in population-based cohorts.
One of the most often used cure models in population-based cancer studies is the mixture cure model [ 2, 3, 5].
In addition, we develop risk prediction models in population-based case control data from the ARCTIC study (Zanke et al. 2007) to evaluate the utility and predictive value of available genomic information from an already completed study of risk factors for CRC.
When the functional SNP was removed prior to MDR analysis, the results changed primarily for the models in populations with lower amounts of LD.
Previous attempts, focused on subtypes of endometriosis (13, 14), have been hampered by small sample sizes (11), and failed to validate models in populations independent to those from which model parameters were generated (34).
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