title: A comparison of probabilistic and stochastic formulations in modelling growth uncertainty and variability.
abstract: We compare two approaches for inclusion of uncertainty/variability in modelling growth in size-structured population models. One entails imposing a probabilistic structure on growth rates in the population while the other involves formulating growth as a stochastic Markov diffusion process. We present a theoretical analysis that allows one to include comparable levels of uncertainty in the two distinct formulations in making comparisons of the two approaches.
authors.affiliation: Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC, USA. htbanks@ncsu.edu
authors.forename: H T
authors.initials: HT
authors.lastname: Banks
authors.forename: J L
authors.initials: JL
authors.lastname: Davis
authors.forename: S L
authors.initials: SL
authors.lastname: Ernstberger
authors.forename: Shuhua
authors.initials: S
authors.lastname: Hu
authors.forename: E
authors.initials: E
authors.lastname: Artimovich
authors.forename: A K
authors.initials: AK
authors.lastname: Dhar
authors.forename: C L
authors.initials: CL
authors.lastname: Browdy
mesh_terms: D000818:Animals; D033364:Decapoda / Q000254:growth & development*; D008954:Models, Biological; D011157:Population Dynamics; D011336:Probability; D013269:Stochastic Processes; D035501:Uncertainty