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Errors-in-variables models
Known as:
Errors-in-variables
, Errors-in-variables model
, Measurement error model
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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
Deconvolution
Dummy variable (statistics)
Fixed effects model
Importance sampling
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Efficient Estimation of Errors-in-Variables Models
I. Vajk
,
J. Hetthéssy
2008
Corpus ID: 29334309
The paper addresses the discrete-time linear process identification problem assuming noisy input and output records available for…
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Highly Cited
2007
Highly Cited
2007
Cross-Sectional Tests of Conditional Asset Pricing Models: Evidence from the German Stock Market
A. Schrimpf
,
M. Schröder
,
R. Stehle
2007
Corpus ID: 73671756
We study the performance of conditional asset pricing models and multifactor models in explaining the German cross-section of…
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Review
2007
Review
2007
An Overview of Normal Theory Structural Measurement Error Models
Jeffrey R. Thompson
,
Randy L. Carter
2007
Corpus ID: 10561789
This paper gives an introduction and overview to the often under‐used measurement error model. The purpose is to provide a simple…
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2004
2004
Manufacture of 8.4-m off-axis segments: a 1/5-scale demonstration
H. Martin
,
J. Burge
,
B. Cuerden
,
S. Miller
,
Bryan K. Smith
,
Chunyu Zhao
SPIE Astronomical Telescopes + Instrumentation
2004
Corpus ID: 55861997
We describe the requirements for manufacturing and maintaining alignment of the 8.4 m off-axis segments of the Giant Magellan…
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2002
2002
Identification of dynamic errors-in-variables models
K. Mahata
2002
Corpus ID: 60014710
The problem of identifying dynamic errors-in-variables models is of fundamental interest in many areas like process control…
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1999
1999
Bootstrapping Errors-in-Variables Models
B. Matei
,
P. Meer
Workshop on Vision Algorithms
1999
Corpus ID: 2605320
The bootstrap is a numerical technique, with solid theoretical foundations, to obtain statistical measures about the quality of…
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1999
1999
Identification of multivariable errors-in-variables models
P. Castaldi
,
R. Diversi
,
R. Guidorzi
,
U. Soverini
European Control Conference
1999
Corpus ID: 8187256
The paper deals with a new identification approach, based on a prediction error method, for multivariable errors-in-variables…
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1997
1997
A frequential approach for errors-in-variables models
S. Beghelli
,
P. Castaldi
,
U. Soverini
European Control Conference
1997
Corpus ID: 22922192
This paper presents an identification method for errors-in-variables systems with input-output measurements affected by white and…
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1997
1997
Optimal Change‐point Estimation in Inverse Problems
Michael H. Neumann
1997
Corpus ID: 12969745
We develop a method of estimating a change‐point of an otherwise smooth function in the case of indirect noisy observations. As…
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1994
1994
Consistent identification of stochastic linear systems with noisy input-output data
A. Delopoulos
,
G. Giannakis
at - Automatisierungstechnik
1994
Corpus ID: 10686692
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