estimated via local polynomials with loess or kernel weighting, asymptotic theory is derived for the latter. In keeping with the … without deriving asymptotic theory on a case-by-case basis. The methods are applied to a series of examples. The application … to nutrition is called "nonparametric calibration" after the term used for studies in that field. Other applications …

analysis. In the usual linear model with no missing data, method of moments estimates and normal-theory maximum likelihood … discussed. -- Measurement Error ; Errors-in-Variables ; Estimating Equations ; Nutrition ; Sampling Designs ; Linear regression …

techniques, regression splines and kernel estimation, of which both can be used in the presence of measurement error. Within the … ; Measurement Error ; Local Polynomial Regression ; SIMEX ; Asymptotic theory ; Estimating Equations ; Nonlinear Regression … ; Bandwidth Selection ; Regression Splines ; Sandwich Estimation …

from a nutrition study are analyzed using the methods. Finally, the results from a simulation study are presented and the … performances of the methods compared. -- Bootstrap ; Measurement Error ; Errors-in-Variables ; Asymptotic theory ; Estimating … Equations ; Nonlinear Regression ; Nutrition …

need for devices such as second derivative estimation and multiple bandwidths of different order. We derive a similar … estimator in the context of local (multivariate) estimation based on estimating functions. As expected, this lower order bias is …

based on the inverse selection probability weights. Distribution theory is derived when the selection probabilities are …

We use ideas from estimating function theory to derive new, simply computed consistent covariance matrix estimates in …

which perform better asymptotically in some circumstances. -- semiparametric estimation ; Local linear regression ; local …