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For example, many open questions concern the dynamics of the advantage (Barrick et al. 2009), the role of epistasis (Chou et al. 2011; Khan et al. 2011), and the structuring of a population into subpopulations of competing clones (Maharjan et al. 2007).
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Preliminary findings show that the age structure of a population can be useful in estimating the age composition of outmigrants.
I propose the use of a durables-based mixture model to identify the consumption class structure of a population.
The Lotka McKendrick's model is a well-known model which describes the evolution in time of the age structure of a population.
Population projections are already a tool used to foreseen the structure of a population and to monitor or envisage public policies but they have some limitations: the aim of this research is to project the population by type of recipiants and social profiles of the population in order to determine social needs at short and medium-term, at various geographical scales and sociodemographic contexts.
Our analysis involves linking the combinatorial nature of epistatic genetic effects to the ancestral graph structure of a population to provide insight into the consequences of epistasis on multivariate trait variation and evolution.
They describe the time evolution of the age-structure of a population.
Age structure of a population affects the dynamics of disease transmission.
Evolution is quite simply heritable change in the genetic structure of a population.
This model arises in population biology and describes the time evolution of the age-structure of a population.
The first models studying the age-structure of a population were the linear ones by McKendrick and Von Forster [12, 13].
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