"regression estimation" is a correct and usable phrase in written English.
You can use it when you need to refer to the process of predicting a value based on ans drawn from data. For example: "The marketing department conducted a regression estimation to predict customer behavior."
A multiple variable regression estimation model constructed to estimate the effect of age, gender, NYHA class, LVEF, implant indication, type of study, and method of VF induction on DFTs revealed that gender was the only significant predictor of higher DFTs in this patient population, with men having higher DFTs than women (P = 0.02).
The traditional regression estimation can only get "average" and "global" parameter estimates; it excludes the "local" parameter estimates which vary across space in some spatial systems.
The study contrasts two types of models that have been employed to estimate project duration and effort separately: linear regression estimation models and models deriving from a more novel approach based on artificial neural networks (ANNs).
Analyses of the completed strata suggest that the sampling unit should be reduced to a 10×10 km block, and poststratified estimation and regression estimation are viable options to improve precision of estimated change.
Calibration techniques in survey sampling, such as generalized regression estimation (GREG), were formalized in the 1990s to produce efficient estimators of linear combinations of study variables, such as totals or means.
The seemingly unrelated regression estimation (SURE) method can be used to get efficient VAR estimates.
Table 3 and Fig. 4 shows the estimates of missing values by linear spline interpolation and linear regression estimation methods.
Table 2 and Fig. 3 shows the estimates of missing values by linear interpolation, linear spline interpolation and regression estimation methods.
Due to the presence of some extreme values in the sample, robust regression estimation is recommended.10 We will also include some weighted least squares (WLS) estimates to control the quality of the studies.11.11
Includes simple and multiple regression, estimation and hypothesis testing.
Vapnik, V., Golowich, S. E. & Smola, A. Support vector method for function approximation, regression estimation, and signal processing.
