Sentence examples for robust estimation from inspiring English sources

One common robust estimation approach is the M-estimator, which is based on a maximum likelihood estimation (MLE).

In robust estimation theory, two important concepts characterize the robustness of an estimator: the breakdown point and the influence function.

Robust estimation without source knowledge, and   5.

Thus, a more robust estimation may significantly improve the performance.

See Section 2.4 for possible robust estimation methods.

Therefore, the robust estimation of W pf (k) in (19) asks for the robust estimation of g(ϕ i,k).

Special techniques are suggested for robust estimation of priority vectors.

The present proposed method provides effective and robust estimation of the ground surface impedance.

Cantoni and Ronchetti (2001) proposed a robust estimation procedure based on quasi-likelihood.

The task force thus voted for and applied an iterative robust estimation scheme in space.

Blind source separation, Frequency domain processing, Permutation resolution, Robust estimation without source knowledge, and.