The difference here lies in the per-pixel model, that is, non-parametric, and it is based on a Parzen windows-like process.
It resolves two key issues, (a) regression structures for identifying a rational model that contain non-smooth nonlinearity, and (b) unknown noise distributions arising in practical identification problems.
The resulting flow cytometric MN values were evaluated with a statistical model that indicated non-linear relationships describe the data better than linear fits.
Distinctive jump and hysteresis phenomena in the near-resonant response are observed experimentally, and are also studied with a model that includes non-linear stretching of the belt.
In "Wave particle interaction module for GEMSIS-RB (GEMSIS-RBW model)" section, we introduce the GEMSIS-RBW model that gives non-adiabatic momentum changes to the GEMSIS-RB model.
As an angiogenesis model, we used fluorescently-labeled mammary carcinoma cells implanted in dorsal skin-fold window chambers, a model that allows non-invasive, direct, and serial visualization and assessment of both tumor cells and pathologic neovascularization simultaneously.
A genetic model that included non-additive genetic variation provided the best fit to the data.
The genotypes were examined together with clinical features in a full model (that is, non-stepwise mode).
A backward step-wise approach using the default 'enter' method in SPSS was utilised, removing variables from the model that were non-significant until only variables with a p <0.05 remained in the model.
For this, we used an ANOVA normalization, i.e. fitting the "normalization" ANOVA model, that estimates non-biological variation due to Dye [Fixed] and Subarray [Random] and saving the residuals [ 66].
As a result, we may underestimate the need for dual-processing in clinical practice by using a research oriented model that allows non-analytic pattern recognition around a few key features with little variability in presentation.
