Results 261 to 270 of about 601,288 (278)

Errors‐in‐variables jump regression using local clustering

Statistics in Medicine, 2019
Errors‐in‐variables (EIV) regression is widely used in econometric models. The statistical analysis becomes challenging when the regression function is discontinuous and the distribution of measurement error is unknown. In the literature, most existing jump regression methods either assume that there is no measurement error involved or require that ...
Yicheng Kang, Xiaodong Gong, Jiti Gao, Peihua Qiu   +3 more
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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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Extending the Classical Normal Errors-in-Variables Model

Econometrica, 1980
IT IS WELL KNOWN that least-squares estimates of the coefficients of a regression equation are inconsistent if any of the regressors are measured with error. The nature of these inconsistencies has been examined by Aigner [1], Blomqvist [2], Chow [3], Levi [5], McCallum [6], and Wickens [10] for the case in which a single regressor is subject to ...
Garber, Steven, Klepper, Steven
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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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Errors in Variables in Econometrics

1998
This article discusses the use of instrumental variables and grouping methods in the linear errors-in-variables or measurement error model. Comparisons are made between these methods, standard measurement error model methods with side conditions, least squares methods, and replicated models. It is demonstrated that there are close relationships between
Chi-Lun Cheng, John W. Ness
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Error in Variable Conversion in Table

JAMA Surgery, 2023
Crisanto M, Torres, Elliott R, Haut, Joseph V, Sakran   +2 more
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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 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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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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Errors in Variables

Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1954
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