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Another way of minimising this error is aoristic analysis.
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In order to minimise this error, you have to amalgamate all the good quality studies to increase the population base of your work and bring in a variety of settings, thus ironing out any discrepancies.
In the heteroscedastic case, LDA is not guaranteed to minimise this error.
This is used to define a gradient descent algorithm to minimise this error over all unit norm precoders.
A 'random' method (which to the authors' knowledge has not previously been described) could be used to minimise this error by assuming instead that each crime occurred at a random instant within trange, known as trandom.
We used two approaches to minimise this error.
To minimise this error, our models included total energy intake.
In order to minimise this error, a correction of the average aberration over the entire image can be performed before spatially varying aberrations are measured.
To minimise this error, we calculated the cut-off values specific for our samples using the Monte Carlo simulation procedure recommended in [ 52].
To minimise this measurement error, this paper presents a Kriging-based procedure to identify the minimum of measured points to check the conformity with a given confidence level.
Optimisation was performed by minimising the error between the experimental and predicted values of responses by ANN.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com