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To reduce uncertainties in model input definition, the dynamic calibration models assumes a crucial role in the accuracy of energy modelling.
The mixed logit class of models assumes a general distribution over individuals and alternatives for η n and an IID extreme value type 1 distribution for εint that is, η n can take on a number of distributional forms such as normal, lognormal and triangular.
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Common models assume a morphogen profile that decays exponentially.
Atmosphere models assuming thick, patchy clouds appear to better match HR 8799 bcde's photometry than models assuming a uniform cloud layer.
All these models assumed a vertical B0.
The models assume a single binding site for the entire class of agents.
Further models assumed a clumpy distribution of the torus (Nenkova et al., 2002, 2008).
No continental lithosphere: Both our models assume a compositionally homogeneous lithosphere (i.e. no continents).
These models assume a set of topics, each typically described by a multinomial distribution over words.
All models assumed a binomial distribution of visits to spider-harbouring inflorescences.
Models assuming a gamma-distributed incidence function failed to generate a well-fitting mortality function (Figure 2B and Table 1).
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CEO of Professional Science Editing for Scientists @ prosciediting.com