نتایج جستجو برای: ordinary least squares
تعداد نتایج: 438290 فیلتر نتایج به سال:
This paper demonstrates that the randomization-based “Neyman” and constanteffects estimators for the variance of estimated average treatment effects are equivalent to a variant of White’s “heteroskedasticity-robust” estimator and the homoskedastic ordinary least squares (OLS) estimator, respectively.
This paper deals with the design and identification of the dynamic model of a compactor, an articulated frame steering mobile engine for use in road construction. A classical approach based on an Ordinary Least Squares identification method is used. A survey of these techniques is given and applied to estimate dynamic parameters of the compactor, and especially the contribution of the contact s...
This work gives a simultaneous analysis of both the ordinary least squares estimator and the ridge regression estimator in the random design setting under mild assumptions on the covariate/response distributions. In particular, the analysis provides sharp results on the “out-of-sample” prediction error, as opposed to the “in-sample” (fixed design) error. The analysis also reveals the effect of ...
The random design setting for linear regression concerns estimators based on a random sample of covariate/response pairs. This work gives explicit bounds on the prediction error for the ordinary least squares estimator and the ridge regression estimator under mild assumptions on the covariate/response distributions. In particular, this work provides sharp results on the “out-of-sample” predicti...
The prevalence of obesity has increased dramatically in recent decades. It is an important public health issue as it causes many other chronic health conditions, such as hypertension, cardiovascular diseases, and type II diabetics. Obesity affects life expectancy and even the quality of lives. Eventually, it increases social costs in many ways due to increasing costs of health care and workplac...
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This study was conducted to examine the hypothesis that organizational commitment and job involvement interact in the prediction of turnover (Blau & Boal, 1987). Prior work in this area has not incorporated a sufficiently broad definition of commitment, has omitted relevant covariates, and has utilized inappropriate estimation procedures (ordinary least-squares regression [OLS]). The presence o...
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