... least squares regression analysis. Usually, we can obtain the linear ... Input: motor torque, T m plus external load torque, Ti applied by human [Nm].

In some embodiments determining the fetal fraction comprises determining the sum of squared residuals according to equation (8) and for multiple bins i for a ...

... CE requirementsminimal radiation and emissions, plus ... the first step involves identifying an emission line associated with at least one constituent in a fluid ...

In a particular embodiment, the transcriptional expression levels X® of the at least N genes from biological samples from the epithelial cells subpopulation are ...

Figure 2 illustrates the least squares mean changes (±SE) in MADRS total ... Line of regression shown for Cmax (r=0.53) and AUClast (r=0.70). Figure ...

... Squares, 155. 5.2.2 The Hosmer–Lemeshow Tests, 157. 5.2.3 Classification Tables ... regression model from a regres- sion analysis point of view. This is ...

A system includes a parameter generation system to determine at least one parameter for an injection procedure (for example, a parameter of an injection ...

wise regression line is fitted on the series to detect the level discontinuity and changes ... Sun, P.: Sparse kernel least squares classifier. In: Fourth ...

[0032] Figure 9 shows the regression analysis for the concentration of a ... The parameter will be calculated by linear least-squares regression analysis ...

... least-significant bit position of T-register 84 via input line 144. ... lVS~767 The REGRESSION key performs linear regression (least-squares curve fitting) using ...

... equation: ti/2(min)= 0.693/fc. The estimation of the in ... Where presented, ICso values were determined by a non-linear, least squares regression analysis.

Such values are called least square estimates. Azoo7 Next, a regression line ... Therefore, ~.t is possible to determine a state of a ce~.Z using any ...

Least squared means estimates for IL-31 (NanoString) Figure 84. Least ... Figure imgf000058_0001 · Figure imgf000058_0002. ,. Biomarker analysis of skin biopsies.

... least squares regression. This was done to account for the correlation ... The lines in each plot panel of Figure 8 are least square fits. For the ...

... least one sample of a body fluid, and to a sample analysis device. ... least squares fit, the method of trusted region or heuristic fitting methods.

... regression analysis. The latter feature corresponds to either classical least squares fitting methods, or multivariate statistical methods, such as PCA ...

The final GEE logistic regression model selected in this analysis provided an estimate ... least-squares (PLS) regression to generate optimal DPOAE summary ...

In some embodiments, the linear regression used is according to a sum of square residuals derived from equation (8), (20), (21) and/or a derivation or ...

FIG. 29 shows exemplary least square straight line regression data. [0055]. FIG. 30 shows a comparison data of the ...

These data were also fitted with a least squares regression analysis (Microcal Origin, Northampton, Mass.) to determine the biological clearance of the various ...