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The authors of [4] use a robust estimation method to iteratively estimate the number of layers and the pixel assignments to each layer.
We apply a robust estimation by the criteria of the least absolute deviation to estimate coda Q−1 using Eq. (1) (Hiramatsu et al., 2000).
A robust estimation procedure, the modified maximum likelihood method (MML), can be utilized to estimate the unknown parameters a and b in such situations.
Cantoni and Ronchetti (2001) proposed a robust estimation procedure based on quasi-likelihood.
In general, it is difficult to achieve a robust estimation of the normals everywhere.
A robust estimation of the response surface is the primary goal of this paper.
MT response functions were calculated using a robust estimation code (Chave and Thomson 2004).
For the latter a robust estimation technique known as cluster-adjustment was used.
The sliding mode observer has been presented as a robust estimation method.
Simulation results show that a robust estimation of the process titration curve can be obtained even under severe process conditions.
Coefficient by coefficient analysis including determination of weighting factors used in a robust estimation of mean coefficients is also reported.
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