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 a simple clustered structure. We consider a number of different ways of estimating the regression function. The main results are that the simple pooled estimator which treats the data as independent performs very well asymptotically but that we can construct estimators which perform better asymptotically in some circumstances
models Mathematical Subject Classification: 62G08, 62G20 Abstract: It is challenging in estimating c...
We consider variance components and other models for repeated measures in which a general transforma...
In repeated measures experiments how treatment contrasts change over time is often of prime interest...
We describe methods for estimating the regression function nonparametrically, and for estimating the...
We describe methods for estimating the regression function nonparametrically and for estimating the ...
We use ideas from estimating function theory to derive new, simply computed consistent covariance ma...
This work develop the difference-based estimators in the repeated measurements setting for nonparame...
A method is presented for simultaneously estimating a system of nonparametric regressions which may...
The thesis studies variance function estimation in nonparametric regression model. It focuses on loc...
AbstractIn this paper a nonparametric latent variable model is estimated without specifying the unde...
Nonparametric varying-coefficient models are commonly used for analyzing data measured repeatedly ov...
This paper provides methods to estimate finite mixtures from data with repeated measurements non-par...
Improving efficiency for regression coefficients and predicting trajectories of individuals are two ...
This papers presents a method for simultaneously estimating a system of nonparametric multiple regre...
Random coefficient linear regression models have been employed in economics, medical and psychologic...
models Mathematical Subject Classification: 62G08, 62G20 Abstract: It is challenging in estimating c...
We consider variance components and other models for repeated measures in which a general transforma...
In repeated measures experiments how treatment contrasts change over time is often of prime interest...
We describe methods for estimating the regression function nonparametrically, and for estimating the...
We describe methods for estimating the regression function nonparametrically and for estimating the ...
We use ideas from estimating function theory to derive new, simply computed consistent covariance ma...
This work develop the difference-based estimators in the repeated measurements setting for nonparame...
A method is presented for simultaneously estimating a system of nonparametric regressions which may...
The thesis studies variance function estimation in nonparametric regression model. It focuses on loc...
AbstractIn this paper a nonparametric latent variable model is estimated without specifying the unde...
Nonparametric varying-coefficient models are commonly used for analyzing data measured repeatedly ov...
This paper provides methods to estimate finite mixtures from data with repeated measurements non-par...
Improving efficiency for regression coefficients and predicting trajectories of individuals are two ...
This papers presents a method for simultaneously estimating a system of nonparametric multiple regre...
Random coefficient linear regression models have been employed in economics, medical and psychologic...
models Mathematical Subject Classification: 62G08, 62G20 Abstract: It is challenging in estimating c...
We consider variance components and other models for repeated measures in which a general transforma...
In repeated measures experiments how treatment contrasts change over time is often of prime interest...