Now showing items 31-40 of 610
Nonparametric Function Estimation of the Relationship between two Repeatedly Measured Variables
We describe methods for estimating the regression function nonparametrically and for estimating the variance components in a simple variance component model which is sometimes used for repeated measures data or data with ...
Estimating the Kronecker Indices of Cointegrated Echelon Form VARMA Models
Cointegrated VARMA models can be parameterized by using the echelon form, which is characterized by the Kronecker indices. Three different methods for estimating the Kronecker indices of cointegrated echelon form VARMA ...
Polynomial Regression and Estimation Function in the Presence of Multiplication Measurement Error, with Application to Nutrition
In this paper we consider the polynomial regression model in the presence of multiplicative measurement error in the predictor. Consistent parameter estimates and their associated standard errors are derived. Two general ...
Transformations of Additivity in Measurement Error Models
In many problems one wants to model the relationship between a response Y and a covariate X. Sometimes it is difficult, expensive, or even impossible to observe X directly, but one can instead observe a substitute variable ...
Asymptotic Optimality of Full Cross-validation for Selecting Linear Regression Models
For the problem of model selection, full cross-validation has been proposed as alternative criterion to the traditional cross-validation, particularly in cases where the latter one is not well defined. To justify the use ...
Measurement Error, Biases, and the Validation of Complex Models
There are three major points to this article: 1. Measurement error causes biases in regression fits. The line one would obtain if one could accurately measure exposure to environmental lead media will differ in important ...