Sentence examples for estimation principles from inspiring English sources

The proposed framework is also flexible to accommodate a wide variety of travel behavior assumptions and estimation principles.

To non-invasively image this phenomenon on a time-resolved basis, we pursued the first application of a recently developed flow visualization technique called vector projectile imaging (VPI) that can track the spatiotemporal dynamics of flow vector fields at a frame rate of 10,000 fps (based on plane wave excitation and least-squares Doppler vector estimation principles).

I have no doubt whatsoever what Bob's private counsel would be if asked about whether applying estimation principles to the Census would increase its accuracy.

We did not remove variables based on these p-values because p-value based variable selection may violate statistical estimation p-value basedarrell 2001).

The equivalence of kriging with BLUP in a space spanned by genomic data was first noted by P iepho (2009), who also discusses relationships with other estimation principles, like ridge regression (W hittaker et al. 2000) and least squares support vector machines (S uykens et al. 2002).

Here, a different solution is developed according to the hybrid continuous-discrete (HCD) estimation principle.

Hyvärinen introduced the so-called "sparse code shrinkage" method, which estimates non-Gaussian data under noisy conditions and is based on the maximum likelihood estimation principle [20].

Although the motion estimation principle is the same as that of the H.264 standard, HEVC includes advanced motion vector prediction (AMVP) and merge mode [2].

In the approach of combining sparse coding with global representation, Yang et al. [5] based on the maximum likelihood estimation principle to code an input signal by sparse regression coefficients.

According to the minimax robust estimation principle, based on the worst-case system with conservative upper bounds of uncertain noise variances, the four robust weighted state fusion time-varying and steady-state Kalman estimators (predictor, filter, smoother) are presented respectively.

According to the minimax robust estimation principle and the unbiased linear minimum variance (ULMV) optimal estimation rule, the six robust weighted fusion time-varying Kalman smoothers are presented based on the worst-case conservative system with the conservative upper bounds of noise variances.