Sentence examples for regression error from inspiring English sources

Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d.i.d

u i is the usual i.i.d, zero mean regression error with constant variance.

On an average, the regression error with stage 1 SAE features 4.91% lower than that of stage 2 SAE features.

It first determines the best output-target assignment and then optimizes the separation regression error given the assignment.

The research cost is described by C M = a0+a1t+ϵ, where ϵ represents the least-squares regression error.

Observed differences are due to the F10.7 linear regression error and inaccuracy of the B-spline approximation.

Further, the procedure is robust to the distribution of regression errors.

As these parameters are subjected to experimental and regression errors, some levels of uncertainty are embedded in them.

Initially, regression errors in Vickery's model are discussed; some adjustments are proposed to enable hurricane simulation in future climates.

A factor model for unobserved heterogeneity in subjective quantiles The quantile regression errors capture unobservable heterogeneity in the subjective probability distributions (except for functional form approximation errors).

It is intended to reduce the time and energy required to keep code well-tested, and to prevent regression errors from persisting uncaught for long periods of time.