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A novel simplified linear predictor is developed for this purpose.
A simple novel recursive linear predictor is developed for this purpose.
This new use of linear predictor is developed in the next section.
A predictor is developed for the estimation of vehicle sideslip due to environmental disturbances.
Thus, a linear trend predictor is developed to predict one-step ahead channel for improving the performance of data detection in the following subsection.
Previously, certain fast algorithm, called Chandrasekhar-type one-step ahead predictor, for recursive least-squares (RLS) estimation by the Kalman one-step ahead predictor is developed in discrete-time systems.
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In order to determine the extent to which age alone can discriminate between "poor-drivers" and "not-poor-drivers", a logistic regression model using age as a predictor was developed (Eq. 3) and was subjected to diagnostic checks/goodness-of-fit test and confirmed through model validation.
A 170-gene predictor was developed and independently validated 80-855% accuracy in all datasets).
No predictor was developed for treatment with trastuzumab.
Then, an enhanced predictor was developed including two additional Lumax HF-T parameters.
A predictor was developed using Gleason score and separate categories of PSA to create prognostic groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com