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Sensitivity analysis in optimized parametric curve fitting
(EMERALD GROUP PUBLISHING LIMITED, 2015-03-02)
Purpose-Curve fitting from unordered noisy point samples is needed for surface reconstruction in many applications. In the literature, several approaches have been proposed to solve this problem. However, previous works ...
Monte Carlo evaluation of the uncertainty associated with the construction and use of a fitted curve
(ELSEVIER SCI LTD, 2011)
A Monte Carlo procedure is presented for computing the joint state-of-knowledge probability distribution to be assigned to the coefficients of a curve fitted to a set of points in a two-dimensional coordinate system. ...
Sensitivity analysis of optimized curve fitting to uniform-noise point samples
(2012-05)
Curve reconstruction from noisy point samples is needed for surface reconstruction in many applications (e.g. medical imaging, reverse engineering,etc.) -- Because of the sampling noise, curve reconstruction is conducted ...
Criterion-Referenced Fitness Standards Associated with Maintaining Functional Capacity in Chilean Older Adults
(Mary Ann Liebert Inc., 2017)
Video Data Compression by Progressive Iterative Approximation
In the present paper, the B-spline curve is used for reducing the entropy of video data. We consider the color or luminance variations of a spatial position in a series of frames as input data points in Euclidean space R ...
Sensitivity analysis in optimized parametric curve fitting
(EMERALD GROUP PUBLISHING LIMITED, 2015-03-02)
Purpose-Curve fitting from unordered noisy point samples is needed for surface reconstruction in many applications. In the literature, several approaches have been proposed to solve this problem. However, previous works ...
Sensitivity analysis in optimized parametric curve fitting
(Emerald Group Publishing, 2015)
Purpose – Curve fitting from unordered noisy point samples is needed for surface reconstruction in many applications -- In the literature, several approaches have been proposed to solve this problem -- However, previous ...
A hybrid spline-based parametric model for the yield curve
(Elsevier B.V., 2018)
Empirical evidence indicates that both nominal and real yield curves in important markets have segmentation between their short end and their longer-maturity segments. This segmentation might affect term structure estimation, ...
Using generalized logistics regression to forecast population infected by Covid-19
(2020-04-05)
In this work, a proposal to forecast the populations using generalized logistics regression curve fitting is presented.
This type of curve is used to study population growth, in this case population of people infected ...