For reference we in- clude the result for parametric models (both with GT calib. and est. using [21]). Best result for each category highlighted in bold. Reg. kNN Intr. Mean Median Calib. rms rms < 1px Diff. Linear Quadratic 1 4 4 Huber Huber Huber Alg.1 Alg.1 Alg....
These results not only provide a variety of alternative estimates but also can lead to tighter estimates than the traditional Gerschgorin circle theorem. Below, we state some of the main results of [39] that will be useful to us presently. The proofs of these results can be found in the ...
2), so the regression models may not provide a good fit for estimation of missing values. The ID method does not provide significant result in this region due to considerable variation of the distance between the target and each of the reference stations (Table 2). Therefore, to estimate ...
We decided not to include the estimations for the end of the first, second and third weeks of the epidemic in our set of fixed dates, since we were already in month two of the epidemic, for sake of brevity, and considering the less robust nature of the predictions as early as the firs...
Continued population growth, rapid urbanization and the public perception of paddy fields as tools for only food production, ignoring their high value ES, such as carbon fixation and oxygen release, climate regulation and air purification, result in the continuous reduction of paddy planting area. ...
(t) 2 from t1 to t2 and then obtaining the average after dividing the result by t2 b t1 or 1 pavg e t2 b t1 t2 f2(t) dt t1 (6a) 1 e T f2(t) dt T0 (6b) where T is the period of the signal Having established the definitions of this section energy can now be ...
The novelty of this study lies in the fact that it used objective data and GIS data-processing (by ArcGIS 10.8) to accurately estimate the abandoned farmland rate model, then the data's estimation result was compared with the result from conventional data, ultimately deriving a new, more ...
The recursive least squares with double parameter which can not only use the real-time measured information to modify the estimated result repeatedly but also can adapt to the situation where the different parameters change speed in the multi-parameter estimated is different. The method can ...
As a result, the left and right foot GRFi(t) signals cannot be determined from the force equilibrium conditions alone, and an additional mathematical or statistical method is required to solve the indeterminacy problem. Several methods have been proposed to estimate the left and right foot GRFv...
However, these techniques should not be used, as linear estimation techniques applied to non-linear models result in faulty parameter estimates and a distorted error structure [1–3]. Other common sources of error in parameter estimation include poorly designed experiments—too few (usually un...