Sentence examples for multidimensional linear regression from inspiring English sources

Though for a given available platform, the algorithmic constants associated with the complexity formula can be computed using multidimensional linear regression, there is still the problem of predicting the performance when the platform is not available.

That is, the reason why multidimensional linear regression theory (see P. Legendre and L. Legendre [22]) is applied in order to characterize that dimension with a unique feature depending on the brightnesses of both parts.

The optimal linear filter uses a sliding window to look back in time to estimate the current state of the arm using a multidimensional linear regression.

The idea behind SVR is based on the computation of a linear regression in a multidimensional feature space.

Main statistical analyses were multidimensional frequency counts with standard deviations and confidence intervals, and multivariable linear regression analyses.

These studies were performed using various linear-based methods, including conventional linear regression methods [ 11, 12], a weighted correlation network method [ 8, 10], and a multidimensional scaling method [ 9].

Partial least-squares (PLS) regression is a statistical method that develops a linear regression model by projecting the predicted variable (% parasitemia) and the observable variable (spectra) onto a new multidimensional space.

b, Linear regression analysis.

% linear regression (matrix inversion).

Linear Regression Models.

Application to linear regression.