Note on Two Estimators for the Polynomial Regression with Errors in the Variables

Bootstrap of kernel smoothing in nonlinear time series

Franke, Jürgen
Kreiss, Jens-Peter
Mammen, Enno

July 1997

Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...

Bootstrap of Kernel Smoothing in Nonlinear Time Series

Franke, Jürgen
Kreiss, Jens-Peter
Mammen, Enno

July 1997

Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...

The Efficiency of Adjusted Least Squares in the Linear Functional Relationship

Kukush, Alexander
Maschke, Erich Otto

January 2000

A linear functional errors-in-variables model with unknown slope parameter and Gaussian errors is co...

Note on Two Estimators for the Polynomial Regression with Errors in the Variables

Cheng, Chi-Lun
Schneeweiß, Hans

January 1997

This Note generalizes two estimators of the quadratic regression with measurement errors by Fuller a...

On the First Order Regression Procedure of Estimation for Incomplete Regression Models

Srivastava, V. K.
Toutenburg, Helge

January 1999

This article discusses some properties of the first order regression method for imputation of missin...

The Impact of Missing Values on the Reliability Measures in a Linear Model

Schaffrin, B.
Toutenburg, Helge

January 1998

Reliability measures in linear models are used in geodetic science and elsewhere to quantify the pot...

Asymptotics for generalized linear segmented regression models with an unknown breakpoint

Küchenhoff, Helmut
Wellisch, U.

January 1997

We consider asymptotic theory for the maximum likelihood estimator in the generalized linear model w...

A nonparametric test of the non-convexity of regression

Diack, Cheikh A.T.
Thomas-Agnan, Christine

February 2006

This paper proposes a nonparametric test of the non-convexity of a smooth regression function based ...

Some Forecast Methods in Regression Models for Categorical Time Series

Pruscha, Helmut

January 1995

We are dealing with the prediction of forthcoming outcomes of a categorical time series. We will ass...

Significance Regression: Improved Estimation from Collinear Data for the Measurement Error Model

Holcomb, Tyler R.
Morari, Manfred

February 1993

This paper examines improved regression methods for the linear multivariable measurement error model...

Superefficient Estimation of Multivariate Trend

Beran, Rudolf

July 1998

The question of recovering a multiband signal from noisy observationsmotivates a model in which the ...

On adaptive estimation in partial linear models

Golubev, Georgi
Härdle, Wolfgang Karl

June 2006

The problem of estimation of the finite dimensional parameter in a partial linear model is considere...

Bootstrap of kernel smoothing in nonlinear time series

Franke, Jürgen
Kreiss, Jens-Peter
Mammen, Enno

July 1997

Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...

Bootstrap of Kernel Smoothing in Nonlinear Time Series

Franke, Jürgen
Kreiss, Jens-Peter
Mammen, Enno

July 1997

Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...

The Efficiency of Adjusted Least Squares in the Linear Functional Relationship

Kukush, Alexander
Maschke, Erich Otto

January 2000

A linear functional errors-in-variables model with unknown slope parameter and Gaussian errors is co...

Note on Two Estimators for the Polynomial Regression with Errors in the Variables

Cheng, Chi-Lun
Schneeweiß, Hans

January 1997

This Note generalizes two estimators of the quadratic regression with measurement errors by Fuller a...

On the First Order Regression Procedure of Estimation for Incomplete Regression Models

Srivastava, V. K.
Toutenburg, Helge

January 1999

This article discusses some properties of the first order regression method for imputation of missin...

The Impact of Missing Values on the Reliability Measures in a Linear Model

Schaffrin, B.
Toutenburg, Helge

January 1998

Reliability measures in linear models are used in geodetic science and elsewhere to quantify the pot...

Asymptotics for generalized linear segmented regression models with an unknown breakpoint

Küchenhoff, Helmut
Wellisch, U.

January 1997

We consider asymptotic theory for the maximum likelihood estimator in the generalized linear model w...

A nonparametric test of the non-convexity of regression

Diack, Cheikh A.T.
Thomas-Agnan, Christine

February 2006

This paper proposes a nonparametric test of the non-convexity of a smooth regression function based ...

Some Forecast Methods in Regression Models for Categorical Time Series

Pruscha, Helmut

January 1995

We are dealing with the prediction of forthcoming outcomes of a categorical time series. We will ass...

Significance Regression: Improved Estimation from Collinear Data for the Measurement Error Model

Holcomb, Tyler R.
Morari, Manfred

February 1993

This paper examines improved regression methods for the linear multivariable measurement error model...

Superefficient Estimation of Multivariate Trend

Beran, Rudolf

July 1998

The question of recovering a multiband signal from noisy observationsmotivates a model in which the ...

On adaptive estimation in partial linear models

Golubev, Georgi
Härdle, Wolfgang Karl

June 2006

The problem of estimation of the finite dimensional parameter in a partial linear model is considere...

Bootstrap of kernel smoothing in nonlinear time series

Franke, Jürgen
Kreiss, Jens-Peter
Mammen, Enno

July 1997

Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...

Bootstrap of Kernel Smoothing in Nonlinear Time Series

Franke, Jürgen
Kreiss, Jens-Peter
Mammen, Enno

July 1997

Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time se...

The Efficiency of Adjusted Least Squares in the Linear Functional Relationship

Kukush, Alexander
Maschke, Erich Otto

January 2000

A linear functional errors-in-variables model with unknown slope parameter and Gaussian errors is co...

Note on Two Estimators for the Polynomial Regression with Errors in the Variables

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Note on Two Estimators for the Polynomial Regression with Errors in the Variables

Abstract

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