[PDF] Top 20 Sequential regression measurement error models with application
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Sequential regression measurement error models with application
... logistic regression. Now, we want to (a) compare the ‘novel sequential logistic measurement error regression’ (Model 3) with ‘na¨ive sequential logistic regression’ (Model ... See full document
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Estimation and Inference of Threshold Regression Models with Measurement Errors
... of measurement error in the threshold ...no measurement error, both estimators are consistent, but the second estimator is less ...to models with multiple regimes (Bai et ... See full document
27
Simulation-extrapolation: The measurement error jackknife
... It is shown that the variance estimator is asymptotically valid in simple linear regression measurement error models.. Data from the Framingham Heart Study.[r] ... See full document
35
Power of Simulation Extrapolation in Correction of Covariates Measured with Errors
... the measurement of values of variables in order to make valid conclusions for decision ...logistic regression model with one covariate measured with ...Square Error and the coverage probability were ... See full document
5
Statistical methodology for regression model with measurement error
... the error variances as the ratio of error variances (λ) (see Cheng and Van Nees, 1999, ...structural models with ME in both response and explanatory variables are considered in this ... See full document
21
Statistical methodology for regression model with measurement error
... to error for two ...of error variances λ < ...the error variance for the Spring count is about six times larger than that in ...fitted regression models and associated statistics are ... See full document
223
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
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
26
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
Addressing multicollinearity in regression models: a ridge regression application
... ridge regression as an alternative to the ordinary least square method of estimation when there is multi-linearity between explanatory ...square error (MSE) to compare ...linear regression ... See full document
21
Correcting data for measurement error in generalized linear models
... As all of the bias-adjusted estimators are modified M-estimators or what might be called pseudo M-estimators, a routine though tedious application of the delta method yields standard lar[r] ... See full document
20
Sequential models for time-evolving regression problems with an application to energy demand prediction
... Here we adopt a statistical approach with a Bayesian perspective giving careful atten- tion to the general approach, but also showing useful specific examples. Key theoretical results, using the general linear dynamic ... See full document
16
Quantification of Uncertainties in Inline Inspection Data for Metal-loss Corrosion on Energy Pipelines and Implications for Reliability Analysis
... involve measurement errors, which should be considered in the FFS assessment of ...the measurement errors associated with the simple characteristics of the defect geometry such as the maximum defect depth ... See full document
140
A Regularization Corrected Score Method for Nonlinear Regression Models with Covariate Error
... of measurement error is considerable, with the correlation between X and W in the validation study being ...the measurement error model from the validation data using a transformed version of ... See full document
22
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 ...for ... See full document
19
Estimators For Generalized Linear Measurement Error Models With Interaction Terms
... the error-prone ...the error-free and error-prone ...to measurement er- ror, and unbiased estimators generally perform better in larger sample ... See full document
115
Orthogonal Series Estimation of Nonparametric Regression Measurement Error Models with Validation Data
... Nonparametric regression model (1) in presence of errors in covariables has attracted considerable attention in the literature, and is by now well ...specifying error model structure between the true ... See full document
12
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
Estimation of Nonparametric Multiple Regression Measurement Error Models with Validation Data
... multiple regression mea- surement error models when both independent validation data on covariables and primary data on the response variable and surrogate covariables are ... See full document
12
Estimating the Parameters Geographically Weighted Regression (GWR) with Measurement Error
... the measurement errors such as [7] in the logistic regression model of the development of heart ...ment error in the generalized linear model ...the measurement error trace which ... See full document
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