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Errors-in-variables models

Known as: Errors-in-variables, Errors-in-variables model, Measurement error model 
In statistics, errors-in-variables models or measurement error models are regression models that account for measurement errors in the independent… 
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Related topics

Related topics

14 relations
DeconvolutionDummy variable (statistics)Fixed effects modelImportance sampling

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Wavelet estimation of semiparametric errors in variables model
Most of the work on wavelet estimation when the variables are measured with errors have centered around nonparametric approaches… 
2012
2012
Algorithms for recursive/semi-recursive bias-compensating least squares system identification within the errors-in-variables framework
Algorithms for the recursive/semi-recursive estimation of the system parameters as well as the measurement noise variances for… 
2008
2008
Efficient Estimation of Errors-in-Variables Models
The paper addresses the discrete-time linear process identification problem assuming noisy input and output records available for… 
Review
2007
Review
2007
An Overview of Normal Theory Structural Measurement Error Models
This paper gives an introduction and overview to the often under‐used measurement error model. The purpose is to provide a simple… 
2004
2004
Manufacture of 8.4-m off-axis segments: a 1/5-scale demonstration
We describe the requirements for manufacturing and maintaining alignment of the 8.4 m off-axis segments of the Giant Magellan… 
2002
2002
Identification of dynamic errors-in-variables models
The problem of identifying dynamic errors-in-variables models is of fundamental interest in many areas like process control… 
1998
1998
Errors-in-variables modelling in optical flow problems
  • L. NgV. Solo
  • Proceedings of the IEEE International Conference…
  • 1998
  • Corpus ID: 15368012
Although still in practice, the use of total least squares (TLS) in optical flow estimation is unreliable. The TLS implicitly… 
1997
1997
Optimal Change‐point Estimation in Inverse Problems
We develop a method of estimating a change‐point of an otherwise smooth function in the case of indirect noisy observations. As… 
1997
1997
A frequential approach for errors-in-variables models
This paper presents an identification method for errors-in-variables systems with input-output measurements affected by white and… 
1963
1963
Calculation of resistance and error in an electric analog of steady flow through nonhomogeneous aquifers
Several types of nonhomogeneous aquifers were modeled using resistance elements to represent finite sections of the aquifer… 
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