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Parametric tests are designed for idealized data.
The new model is tested on idealized data as well as on numerical model forecasts leading to promising results and supporting both the reduction of systematic biases but also the significant limitation of the error variability and the associated forecast uncertainty, a point where classical Kalman filters usually fail to contribute.
They generated idealized data with an unpublished in-house method, TuxSeq.
These idealized data show 100% of those who originally reported no activity (0 months at Baseline) recalling 0 months.
This means, under the idealized data assumption, a zero residual value delivered after the fitting is associated to surfaces passing through the true parameter point.
Such idealized data are, in any case, difficult to obtain, as one has to ask what is fair in terms of numbers entering the experimental design.
Similar(50)
Usually the problem is idealized and data are sometime assumed.
A model of data is a corrected, rectified, regimented, and in many instances idealized version of the data we gain from immediate observation, the so-called raw data.
Finally, the testing data was idealized to translate the load displacement behavior of the DSN connections through a typical exponential function model.
Data was idealized and model fitted as described in the methods.
Then, given idealized quantitative AP-MS data, we study the problem of identifying the most likely set of direct interactions that produced the observed data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com