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. The parameters of the lines are estimated. This model is a restriction of the conic...
Main Author: | Sergiy Shklyar |
---|---|
Format: | Article |
Language: | English |
Published: |
VTeX
2016-03-01
|
Series: | Modern Stochastics: Theory and Applications |
Subjects: | |
Online Access: | https://vmsta.vtex.vmt/doi/10.15559/16-VMSTA47 |
Similar Items
-
Makehamizing mortality data by least squares curve fitting
by: Ruth, Oscar E.
Published: (2011) -
Vision-based Size Estimation and Centroid Positioning of Partially Occluded Fruits
by: Mya Thin Kyu Kyu, et al.
Published: (2020-12-01) -
Least-Squares Fit For Points Measured Along Line-Profiles Formed From Line And Arc Segments
Published: (2013) -
An Efficient Biocrypto-system Using Least Square Polynomial Curve Fitting with Interpolation Based New Chaff-Points Generation Method
by: TANTUBAY, N., et al.
Published: (2021-08-01) -
SELECTION OF REFERENCE PLANE BY THE LEAST SQUARES FITTING METHODS
by: Przemysław Podulka
Published: (2016-06-01)