Results 21 to 30 of about 1,081,533 (280)
Exact Bayesian curve fitting and signal segmentation. [PDF]
We consider regression models where the underlying functional relationship between the response and the explanatory variable is modeled as independent linear regressions on disjoint segments.
B. Freedman +31 more
core +2 more sources
Spectral curve fitting of dielectric constants
Optical constants are important properties governing the response of a material to incident light. It follows that they are often extracted from spectra measured by absorbance, transmittance or reflectance.
M. Ruzi, C. Ennis, E. G. Robertson
doaj +1 more source
Sicegar: R package for sigmoidal and double-sigmoidal curve fitting [PDF]
Sigmoidal and double-sigmoidal dynamics are commonly observed in many areas of biology. Here we present sicegar, an R package for the automated fitting and classification of sigmoidal and double-sigmoidal data.
M. Umut Caglar +2 more
doaj +2 more sources
Equivariant adjusted least squares estimator in two-line fitting model
We consider the two-line fitting problem. True points lie on two straight lines and are observed with Gaussian perturbations. For each observed point, it is not known on which line the corresponding true point lies.
Sergiy Shklyar
doaj +1 more source
Is the Best Fitting Curve Always Unique?
Fitting straight lines and simple curved objects (circles, ellipses, etc.) to observed data points is a basic task in computer vision and modern statistics (errors-in-variables regression). We have investigated the problem of existence of the best fit in
N. Chernov, Q. Huang, H. Ma
doaj +1 more source
Curve Fitting-Based Phase Optimization for Microwave Power Transfer
Microwave power transfer provides power wirelessly by converting electromagnetic waves emitted by an antenna to DC power using a rectifying antenna (rectenna). We are developing a distributed cooperative power transfer system that intentionally generates
Kentaro Hayashi +6 more
doaj +1 more source
Financial model calibration using consistency hints [PDF]
We introduce a technique for forcing the calibration of a financial model to produce valid parameters. The technique is based on learning from hints. It converts simple curve fitting into genuine calibration, where broad conclusions can be inferred from ...
Abu-Mostafa, Yaser S.
core +2 more sources
Curve-Fitting on Graphics Processors Using Particle Swarm Optimization [PDF]
Curve fitting is a fundamental task in many research fields. In this paper we present results demonstrating the fitting of 2D images using CUDA (compute unified device architecture) on NVIDIA graphics processors via particle swarm optimization (PSO ...
R. T. Kneusel
doaj +1 more source
Long-Distance Pollen Dispersal in Urban Green Roof and Ground-Level Habitats
Long-distance pollen dispersal is critical for gene flow in plant populations, yet pollen dispersal patterns in urban habitats such as green roofs have not been extensively studied.
Chelsea L. Butcher +8 more
doaj +1 more source
A Polynomial Fitting Problem: The Orthogonal Distances Method
The classical curve-fitting problem to relate two variables, x and y, deals with polynomials. Generally, this problem is solved by the least squares method (LS), where the minimization function considers the vertical errors from the data points to the ...
Luis Alberto Cantera-Cantera +4 more
doaj +1 more source

