incidence function

incidence function

[′in·səd·əns ‚fəŋk·shən]
(mathematics)
The function that assigns a pair of vertices to each edge of a graph.
References in periodicals archive ?
Proportionality for each set model, Cox and Fine-Gray, was verified through Schoenfeld residuals, and graphs for the accumulated incidence function, respectively.
The model proposed by Fine-Gray models the cumulative incidence function, considered by other authors as appropriate to estimate the death probabilities.
However, an alternative method, which is the cumulative probability of failure from a specific cause over time, was suggested and labeled the cumulative incidence function (CIF) that accounted for the competing risks and has a reasonable interpretation.
Estimation of the joint survival function and the cumulative incidence function based on competing risks data discussed extensively in the literature.
In Sections 4 and 5, we show that the global asymptotic stability of these equilibria depend only on the basic reproduction numbers under some hypotheses on the incidence function.
1], respectively, which depend on the incidence function and the delay.
One of the more widely-used techniques in modelling metapopulation dynamics within real landscapes is the incidence function model (IFM; Hanski et al.
Petri-Net model consists of a 7-tuple such as a finite set P of place, a finite set T of transition, backward incidence function B, forward incidence function F, initial marking [[mu].
In Part I, the chapters begin with relatively simple two-population and Levins metapopulation models, and then to incidence function, state transition, and n-population models.
We analyze how z should vary with trophic rank, using a generalization of the incidence function model of Holt (1993, 1996a).
Recently, we have studied metapopulation processes with a stochastic patch occupancy model called the incidence function model (Hanski 1994a, 1997, Hanski et al.
Since S is modelled as the sum of incidence functions of each species and hence has an approximately binomial distribution, it follows that parameters y and log d of a multiple-species EVF may be estimated by regression analysis assuming that S is a binomially distributed variable.