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Commonly referred to as sensor selection, the basic objective is to select a subset of sensors from available sensors that minimises the estimation error.
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Similar with other studies, we minimised the estimation error by helping the migrant patients with TB in their recall efforts, and also collecting data from the LTD registration system.
The decoding algorithms for MIMO systems are usually very complicated and, therefore, it is desirable to minimise the channel estimation and tracking complexity.
In both cases, the constants added were small in order to minimise biases during the estimation of the true OR [ 26].
All of the manuscripts meeting the selection criteria were assessed for their methodological quality, defined as the confidence that the study design, conduct and analysis minimised biases in the estimation of test accuracy.
All articles meeting the selection criteria were assessed for methodological quality, defined as confidence that the study design, conduct, and analysis minimised any bias in the estimation of an association.
Methodologic quality is a construct defined as the confidence that the study design, conduct and analysis minimises bias[ 22] in the estimation of the association between test and outcome, thereby maintaining internal validity (i.e. the degree to which the results of this observation are correct for the patients being studied).
For example, circular differential edge operators are effective in minimising the angular error in the estimation of image gradient direction.
The samples were analysed in a sequence designed to minimise the possible bias in the estimation of cancer risk that could be introduced if serum measurements varied by time.
The partial-profile design, while minimising respondent burden, does not fully permit the estimation of interactions 65 and thus our study is limited to estimating main effects only.
The estimation is achieved by minimising a least squares criterion based on the measured and modelled spectral matrices.
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