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The optimization aims at maximizing the statistical quality of a parameter estimate from experimental data.
The target is searched in the consecutive images by maximizing the statistical match of the color distributions.
The unmixing matrix is estimated by maximizing the statistical independence of the estimated components.
The unmixing matrix is found by maximizing the statistical independence of the unmixed signals.
The CSS process improved the resampling detection performance considerably by maximizing the statistical properties of resampled stereoscopic images.
The filters are learned from natural images using independent component analysis by maximizing the statistical independence of s i.
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In the maximal entropy principle, assuming stationarity, one looks for the probability distribution which maximizes the statistical entropy given those constraints.
A minimum of 20,000 events was collected to maximize the statistical validity of the compartmental analysis.
Therefore it is very important to choose an experimental design, which maximizes the statistical quality of the resulting information.
This paper presents an optimization model to maximize the statistical confidence in product profitability, permitting flexibility in the design and number of the units manufactured.
Some research designs stratify subjects by geographic, demographic or other factors prior to random assignment in order to maximize the statistical power of the estimated effect of the treatment (e.g., GOTV intervention).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com