[PDF] Top 20 Approximate quasilikelihood estimation in measurement error models
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Approximate quasilikelihood estimation in measurement error models
... One can thus summarize the paper as having: (i) developed very broad classes of models and estimators; (li) taken explicit account of the types of data sets, including validation and rep[r] ... See full document
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Estimation of Nonparametric Multiple Regression Measurement Error Models with Validation Data
... This article is arranged as follows. In Section 2, we first describe our estimation approach for the case that the covariates are all measured with errors. Extension to the case that only some of covariates are ... See full document
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Consistent Fundamental Matrix Estimation in a Quadratic Measurement Error Model Arising in Motion Analysis
... Cirrincione (Cirrincione, 1998; Chaudhuri and Chatterjee, 1996) further improved the (M:uhlich and Mester, 1998) method by means of a robust constrained TLS (CTLS) technique, which solves (6) by taking into account the ... See full document
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Instrumental variable estimation in binary measurement error models
... linear measurement error model instrumental variable estimator is presented and used to motivate the generalization to binary regression models.. Results of a simulation study are discus[r] ... See full document
21
Estimating the Parameters Geographically Weighted Regression (GWR) with Measurement Error
... regression models with the measurement error are a modeling method that combines the global regression models with the measurement error and the weighted regression ... See full document
5
Consistent estimation in an implicit quadratic measurement error model
... This paper presents research results of the Belgian Programme on Interuniversity Poles of Attraction (IUAP Phase V-22), initiated by the Belgian State, Prime Minister’s OMce—Federal OMce for Scienti7c, Technical and ... See full document
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Simple, Distributed Localization and Tracking for Wireless Sensor Networks.
... pose estimation errors under different ...AOA measurement is proportional to the square of the beamwidth, therefore a small beamwidth will results in a strong confidence in the ...AOA measurement as ... See full document
133
Robust Estimation via Measurement Error Modeling
... the estimation of location and scale in univariate and multivariate populations with nat- ural extensions to regression and autoregressive ...Parametric models and likelihood methods abound for these ... See full document
102
Measurement error and corrections for attenuation in meta-analyses
... (1990) present a meta-analysis of the effect of blood pressure on coronary heart disease, as well as new methods for estimation in measurement error models for the case when a replicate [r] ... See full document
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Orthogonal Series Estimation of Nonparametric Regression Measurement Error Models with Validation Data
... [11] Yu, S.H. and Wang, D.H. (2014) Empirical Likelihood for First-Order Autoregres- sive Error-in-Variable of Models with Validation Data. Communications in Statis- tics Theory Methods, 43, 1800-1823. ... See full document
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Unbiased estimation of a nonlinear function of a normal mena with application to measurement-error models
... Key Words and Phrases: errors-in-variables; functional models; generalized linear model; H-estimation; measurement error; structural IIIOdels; unbiased estimation... ABSTRACT.[r] ... See full document
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Instrumental variable estimation in generalized linear measurement error models
... The problem of finding efficient, consistent estimators of parameters for a general regression function in the presence of covariate measurement error has not been solved. The problem wi[r] ... See full document
115
Efficient estimation in a class of generalized linear measurement-error models
... Of the more popular generalized linear models (McCullugh & NeIder, 1983) (MI) excludes only the normal model, for which Bickel & Ritov (1986) have already constructed efficient e[r] ... See full document
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A semiparametric copula method for Cox models with covariate measurement error
... copula models, allowing for covariate errors of arbitrary structures not restricted to a linear additive measurement error model or Gaussian measurement error as in many previous ...on ... See full document
19
Partially linear models
... efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and nonparametric time series ... See full document
216
Estimation of Nonparametric Regression Models with Measurement Error Using Validation Data
... any error model structure between the surrogate and true covariables, we propose an estimator which integrates orthogonal series estimation and truncated series approximation ... See full document
10
Simulation-extrapolation estimation in parametric measurement error models
... Kernel density estimates of the distributions of the regression parameters in the multiple logistic regression model simulation - a-c, normal measurement error; e-f, uniform measurement [r] ... See full document
31
Quantification of Uncertainties in Inline Inspection Data for Metal-loss Corrosion on Energy Pipelines and Implications for Reliability Analysis
... the measurement errors associated with the ILI-reported defect length, effective length and effective ...a measurement error model for the ILI-reported defect length is proposed, and ... See full document
140
Estimation of slope for measurement error model with equation error: applications on serum kanamycin data
... equation error, and nearly asymptotically unbi- ased to the parameters of EIV model includes equation ...equation error, and it is the lowest and far below the true ...equation error assumption that ... See full document
15
glm-ie: Generalised Linear Models Inference & Estimation Toolbox
... To facilitate the specification and composition of system matrices X, B (and their respective trans- poses) in a GLM, the glm-ie toolbox contains a specialised matrix class mat. As MVMs form the most important ... See full document
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