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Models were parameterised to represent a prawn fishery, a finfish fishery and an elasmobranch fishery.
Models were parameterised for the UK and applied to a temperate catchment with widely varying land use in North Wales.
Both models were parameterised for five different forests, including a wide range of species compositions, species proportions, stand densities, crown architectures and canopy structures.
Multivariate adaptive regression splines models were parameterised for predictions of soil organic carbon (SOC), cation exchange capacity (CEC), phosphorus (P) and depth of the A horizon in ADEs from sensor data – both from individual sensors and in sensor combinations.
The models were parameterised in terms of the log-relative risk ratios for PrCa.
Subsequently, models were parameterised for each individual animal and errors were estimated.
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Curvilinear models are parameterised so that the coefficient for age is the model slope at maternal age 30.
Typically, network models are parameterised with empirical data or synthetic models that can be either purely theoretical, e.g. homogeneous random networks or Erdős Rényi random graphs, or obey some widely observed network characteristics, such as a particular degree distribution or clustering.
The proximity and quality sub-models were parameterised through a comparative study of planning standards and through analysis of local preferences, acquired by means of a questionnaire.
The general model framework was parameterised and validated for three GIN species that infect a range of ruminants worldwide: Haemonchus contortus, Teladorsagia circumcincta and Ostertagia ostertagi.
This model is parameterised by experimentally measured coffee bed properties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com