[PDF] Top 20 Instrumental variable estimation in generalized linear measurement error models
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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
Generalized Instrumental Variable Models, Methods, and Applications
... data models, and features an application investigating the e¤ect of supplemental health insurance on the frequency of doctor visits made by ...dynamic models in which unobservable variables are allowed to ... See full document
119
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
Estimation in a linear multivariate measurement error model with a change point in the data
... The assumptions that the data can be clustered means that the true input its changes character, while the noise properties remain the same. This assumption can be viewed equivalently as having a set of data records from ... See full document
22
Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors under Cross sectional Dependence
... an instrumental variable (IV) estimator for consistent esti- mation of dynamic panel data models with error cross-sectional dependence when both N and T , the cross-section and time series ... See full document
28
Instrumental variable estimation in semi parametric additive hazards models
... Our simulations have shown that the 2SRI method avoids the bias of 2SLS when censoring depends on the exposure and when the first stage is a non-linear model. Although the asymptotic results assume a logistic ... See full document
17
Estimation of Nonparametric Multiple Regression Measurement Error Models with Validation Data
... the instrumental variable method (see, ...function estimation with surrogate data and validation ...local linear regression and Fourier transformation method when both explanatory and ... See full document
12
Estimators For Generalized Linear Measurement Error Models With Interaction Terms
... of generalized linear measurement error mod- ...When measurement error is present, the naive estimating equations produce an estimator which is biased and inconsistent due to ... 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
34
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
Bayesian Inference for High Dimensional Models: Convergence Properties and Computational Issues.
... for variable selection in regression models; for example, see Yuan and Lin (2005); Curtis et ...free variable. We shall call such models to be non-regular graphical models following the ... See full document
136
Detection of Outliers and Influential Observations in Linear Ridge Measurement Error Models with Stochastic Linear Restrictions
... parameter estimation in addition to the sample information such as some exact or stochastic linear restrictions on the unknown parameters (Rao et ...exact linear restrictions binding the regression ... See full document
12
Modeling diarrhea disease in children less than 5 years old: a GAM and GLM approach
... of generalized additive models is the non-parametric functions of the predictor ...the variable values, with the target criterion to maximize the quality of prediction of the (transformed) ... See full document
11
Geometrically Designed Variable Knot Splines in Generalized (Non-)Linear Models
... GAM models (see respectively Gu (2014), Wand (2014) and Wood (2006)), we have used four additional test functions with varying degree of smoothness; smooth functions f 2 and f 3 , less smooth f 5 and highly ... See full document
16
On a Class of Probability Distributions With Application Using Rainfall Data of Kashmir Valley Bilal Ahmad Bhat 1, N. A. Rather2 , T. A. Rather 3
... (1.2) As g(t) and f(t) may be replaced by different sets of p.g.f.s, (1.2) may provide us with families of generalized discrete type of distributions. Some of the important members of this family for some ... See full document
7
On the equivalence of instrumental variables estimators for linear models
... This note shows the equivalence of different instrumental variables estimators to solve the endogeneity problem in linear models when valid instruments are available. We demonstrate that the ... See full document
10
On line scheme for parameter estimation of nonlinear lithium ion battery equivalent circuit models using the simplified refined instrumental variable method for a modified Wiener continuous time model
... of models describing lithium ion batteries (LIBs) in typical battery management system (BMS) applications is critical to the estimation of key states such as the state of charge (SoC) and state of health ... See full document
13
Estimation of Nonparametric Regression Models with Measurement Error Using Validation Data
... [10] Lü, Y.-Z., Zhang, R.-Q. and Huang, Z.-S. (2013) Estimation of Semi-Varying Coef- ficient Model with Surrogate Data and Validation Sampling. Acta Mathematicae Applicatae Sinica English , 29, 645-660. ... See full document
10
Geometrically Designed Variable Knot Splines in Generalized (Non-)Linear Models
... the linear predictor in Generali- zed Linear Models (GLM) have recently been proposed among which the Semi-parametric Models (SPM) of Rupert et ...the Generalized Smoothing Spline (GSS) ... See full document
42
Partially linear models
... quasi-likelihood estimation method, which has properties similar to those of the likelihood function, but requires only specification of the second-moment properties of Y rather than the entire ...the ... See full document
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