Sentence examples for model fitting technique from inspiring English sources

The GRCSM construction component model fitting technique employs the presented GRCSM search algorithm, which is a modified version of the existing Multi-Resolution Correlative Scan Matching (MRCSM) search algorithm.

A 3D 2D model fitting technique was used to reconstruct the in vivo 3D kinematics.

To that end, two construction component model fitting techniques are presented, namely the Clustering and Iterative Closest Point (CICP) construction component model fitting technique and the Generalized Resolution Correlative Scan Matching (GRCSM) construction component model fitting technique.

In vivo weight-bearing fluoroscopic kinematic analysis using an interactive model fitting technique with 3-dimensional computer-aided design solid models was done using 16 anterior and posterior (bicruciate -sparing and 6 posterior cruciate-sparing total knee arthroplasties (TKAs).

(14) A robust model fitting technique relevant to quantitative metabolomics must accurately model these non-Lorentzian profiles.

Femorotibial contact paths for the medial and lateral condyles were then determined using a computer-automated model-fitting technique.

Dynamic compliance was estimated every 4 h from data obtained during a single-frequency forced oscillation manoeuvre, using a mathematical model-fitting technique according to the specifications of Scireq Inc. (Montreal, PQ).

Briefly, the program uses a maximum likelihood ratio test (LRT) as a model-fitting technique.

Using the maximum likelihood ratio test (LRT) as a model-fitting technique, a best fitting and most parsimonious model was obtained after excluding all non-significant parameters from the general model (backward elimination).

Basic model-fitting techniques, including variable selection, goodness-of-fit, adjusted generalised R, and regression diagnostics (residual analysis, detection of influential cases, and check for multi-collinearity) were applied to ensure the quality of the multivariate analysis.

Basic model-fitting techniques, including variable selection, goodness-of-fit, area under the receiver operating characteristic curve, adjusted generalized R and regression diagnostics (residual analysis, detection of influential cases, and check for multicollinearity), were applied to assure the quality of the multivariate analysis.