Your English writing platform
Free sign upSuggestions(5)
Exact(10)
3) A sub-study investigating sources of variability to estimate the components of measurement error in each measure and estimate of GFR. 4) Using information from 1), 2) and 3) modelling of alternative monitoring strategies, using different estimates of eGFR and monitoring frequencies.
Relevance: Flexibility is a construct with different components of measurement.
The components of measurement uncertainty were carefully determined for each studied parameter and uncertainty budgets were created.
The components of measurement output are separately transmitted by multiple-packet transmission, and the randomly occurring packet dropouts of different channels are described by mutually independent Bernoulli processes.
Let the components of measurement matrix φ pm be considered as random variable.
These examples illustrate that in polling or any other type of sampling, there are two separate components of measurement error: the statistical error (normal fluctuations caused by pure randomness) and sampling bias (error introduced by inadvertent, or unavoidable, sampling of a biased population).
Similar(50)
But while we teach to exam and our professional progression is predicated on our success at doing so, a large component of measurement relates to classroom practice.
where ({mathbf {y}_{k,i}^{g,p}}) is the position component of measurement ({mathbf {y}_{k,i}^{g}}) and ({w_{k,i}^{g}}) is the decorrelated Doppler component of measurement ({mathbf {y}_{k,i}^{g}}).
The likelihood of the decorrelated Doppler component conditioned on the position component of measurement (textbf {y}_{k_{tau },i}^{g}) is calculated in (36).
The augmented measurement matrix with respect to the position component of measurement becomes mathbf{H}^{text{AS},{p}} = left[ {begin{array}{*{20}c} {mathbf{H} }_{k}^{p} & {textbf{0}_{m,ntimes (N }} end{array}} right], (23).
The linearized augmented measurement coefficient matrix with respect to the Doppler component of measurement becomes {mathbf{H}^{text{AS},{w}}} = left[ {begin{array}{*{20}{c}} {{mathbf{H}^{{w}}}}(mathbf{{x}}_{k})&{{{mathbf{0}}_{1,n times (N }}} end{array}} sright], (25).
More suggestions(14)
components of assessment
components of moving
components of tests
piece of measurement
hardware of measurement
components of fraternity
components of government
components of performance
components of nurture
components of behaviour
components of imitation
components of income
domains of measurement
components of dosage
Write better and faster with AI suggestions while staying true to your unique style.
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