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One is model averaging approaches which make some allowance for the uncertainty in choosing an appropriate statistical model (Conigliani and Tancredi, 2009).
There still exist two sources of uncertainty in disorder prediction, one is model uncertainty, and the other one is data uncertainty.
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Three men on the left of the painting are from an early 17th-century work by Vannini, and one is modeled after the young Michelangelo.
The first one is modelling of the load process by the superposition of many overlapping pulses.
But what if one is modeling a cell population heterogeneous for a mutation?
One was modeled after the "lemon" type of grenade used in the Vietnam War, the other was scored like the rough "pineapple" grenade used during World War II.
LES solves the unsteady large scales, while the small ones are modeled.
2C model can be decomposed into two sub-models, one is the model under STC, the other one is the incremental model.
One is a model in which the two traits evolve independently on the tree (independent model).
The other one is a model-based predictive controller (MPC).
The first one was unadjusted model or model without controlling by other covariates.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com