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The unknown parameters are estimated by optimising a likelihood function.
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That's very different to optimising an existing business model.
Mobilisation during labour is widely acknowledged as a way of optimising the likelihood of normal birth [ 39, 40] and this is reflected in the practices and attitudes described by the midwives, who viewed it as an integral part of their care, despite the challenges faced with this population.
A pragmatic (as opposed to an explanatory) design was adopted so that the conditions of the study would resemble the conditions of ordinary clinical practice so far as possible, thereby optimising the likelihood of the results being relevant to everyday practice [ 10, 11].
That is, we optimise a parameterised policy using gradient ascent.
These numbers are less than the total number of parameters in the models, but represent the number of parameters that were adjusted in optimising the log likelihood.
In order to optimise the likelihood of convergence, a separate GLMM analysis was run for each of the four outcome measures.
In order to optimise the likelihood of convergence, a separate GLMM analysis will be run for each of the outcome measures (PG-13, CBI, DASS, RTQ, UGRS, MCQ-30, Q-LES-Q-18).
Appropriate planning in regard to each of these elements optimises the likelihood of finding an important result that is both clinically and statistically meaningful.
With all the boxes checked, the task then is to optimise the likelihood of being offered a place by at least one of the chosen institutions.
While we might be keen to maximise the efficiency of the initial refugee placement (e.g. optimise the likelihood of employment or satisfy locational preferences), it is important to ensure that the communities perceive the system as fair.
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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