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Procrustes Errors-In-Variables Solutions

2019
As shown in the previous chapters, given a matrix \(\mathbf {A}\) (origin) and a matrix \(\mathbf {B}\) (destination), containing the coordinates of p-points in \(\mathbb {R}^k\), classical least squares (LS) Procrustes solutions find the transformation parameters between the two point sets assuming that all random errors are confined to the ...
Fabio Crosilla   +4 more
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Errors-in-Variables Models in Parameter Bounding

1996
When all observed variables of a model are affected by noise, parameter estimation is known as the errors-in-variables problem. While parameter bounding methods and algorithms have been extensively developed in the case of exactly known regressor variables, little attention has been paid to the bounded errors-in-variables problem.
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Bootstrapping Errors-in-Variables Models

2000
The bootstrap is a numerical technique, with solid theoretical foundations, to obtain statistical measures about the quality of an estimate by using only the available data. Performance assessment through bootstrap provides the same or better accuracy than the traditional error propagation approach, most often without requiring complex analytical ...
Bogdan Matei, Peter Meer
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Error in Variables Parameter Estimation

Journal of Environmental Engineering, 1989
The application of the errors in variables method (EVM) to environmental engineering practice using, as an example, the determination of kinetic parameters from a laboratory biodegradability study is presented. Model parameters must often be estimated from field or laboratory observations to describe biological treatability studies, adsorption, and ...
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Errors in Variables

2011
1 Title: Errors in variables Author: Katarína Mordinová Department: Department of Probability and Mathematical Statistics Supervisor: Mgr. Zdeněk Hlávka, Ph.D. Supervisor's e-mail address: Zdenek.Hlavka@mff.cuni.cz Abstract: The topic of the diploma thesis is Errors in variables.
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Errors in Variables and Cointegration

Econometric Theory, 1995
In this article it is shown how the cointegration or joint trending behavior of economic time series helps to alleviate the errors in variables problem.
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Instrumental variables estimation in errors-in-variables models when instruments are correlated with errors

Journal of Econometrics, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Errors-in-variables modely

2012
This thesis analyzes an errors-in-variables model. It compares parameter estimation methods least squares and total least squares. The main difference between these methods lies in approach to the measurements errors. The first part of the bachelor thesis focuses on theoretical aspect of methods.
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Microbial diversity in extreme environments

Nature Reviews Microbiology, 2021
Wen-Sheng Shu, Li-Nan Huang
exaly  

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