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Finally, the LR-DM estimation is compared with the stratum-wise estimation.

A conceptual model for pressure-wise estimation of water saturation and relative unsaturated hydraulic conductivity of such materials is proposed.

This method keeps the balance of the existing ICIO column-wise, but without detailed treatments of row-wise estimation discrepancies.

Also study some approximation properties, asymptotic formula including q-derivative and point-wise estimation for the operators ℒ n, q Open image in new window.

Finally, we give point-wise estimation and better error estimations for operators ℒ n, q Open image in new window using King's approach.

LR-DM estimation and stratum-wise estimation are described, where the former is based on a logistic regression model, leads to a generalized linear model, and requires computer-intensive methods.

The purpose of the present paper is to study the basic convergence theorem, Voronovskaja type asymptotic formula, local approximation, rate of convergence, weighted approximation, point-wise estimation and A-statistical convergence of the operators (1.3).

The spatial "averaging" effect due to the block-wise estimation of the local PSFs may cause a slight overestimation of the blur, which also appears in the simulation results.

In the next section, a brief overview of the eigenphone-based speaker adaptation method is given, a simplified method for row-wise estimation of the eigenphone matrix in case of diagonal covariance matrices is derived, and the comparisons between the eigenphone method and various existing methods are presented.

A simple way to achieve this is to perform a point-wise estimation of our transition function at position i by fitting the model on a window of size w centered around i. Small values of w lead to better fitting, while large values lead to better smoothing (resulting in a homogeneous model if w ≥ ℓ, the length of the sequence).

Structural Analysis T2 relaxation maps will be obtained from three T2-weighted images by first aligning all T2- weighted images to the T2-weighted image with the shortest echo time (TE = 27 ms) using rigid-body registration, followed by voxel-wise estimation of T2 employing a nonlinear least-squares fit.