A Monte Carlo approach was used to examine bias in the estimation of indirect effects and their associated standard errors. In the simulation design, (a) s... JF Finch,Stephen G. West & David P. MacKinnon - 《Structural Equation Modeling A Multidisciplinary Journal》 被引量: 173发表: 1997...
The exact bias and mean squared error of forecasts on the left-hand endogenous variable of the structural equation under consideration and their asymptotic approximations (up to given order) have been obtained, in the special case when there are only two endogenous variables in the structural ...
- Econometrics: Single Equation Models eJournal 被引量: 0发表: 2014年 Corrigendum to "The second-order bias and mean squared error of nonlinear estimators": [Journal of Econometrics 75(2) (1996) 369–395] We extend the three-step generalized methods of moments (GMM) approach of Kapoor et ...
Define mean free path. mean free path synonyms, mean free path pronunciation, mean free path translation, English dictionary definition of mean free path. n the average distance travelled by a particle, atom, etc, between collisions Collins English Dicti
Some general results on reduced mean square error estimation - Blight - 1971 () Citation Context ...s. More generally, we may allow for bias vectors that are linear in x0. Our goal then is to find the smallest MSE achievable over all estimators with linear bias. A similar strategy was ...
An equation is derived through which the variance of predictive error of a calibrated model can be calculated. This equation has two terms. The first term ... C Moore,J Doherty - 《Water Resources Research》 被引量: 273发表: 2005年 Discrete-time nonlinear observer-based estimators for the ...
Frequency domain is considered because it has the same structure as the linear equation, whereas, in time domain the output of the channel is the convolution of the channel impulse response \(h\) and the input \(x\). We can now consider that the channel impulse response in frequency domain...
Nonetheless, it remains a fundamental tool in Bayesian decision theory, guiding the selection of estimators and decision rules balancing bias and variance in estimation and decision-making One such method is the SELF, introduced by Gauss28. In this method, we square each value of the estimation ...
(AOI), the pooled average relative underestimation and overestimation errors (PARE), the average absolute relative error (AARE), the relative error (RE), and the non-dimensional error index (NDEI), absolute value of the average forecast error (bias), the accuracy factor (Af), the Willmott ...
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