Experimental design criteria for parameter estimation and response prediction for inverse polynomial regression models

Optimal experimental designs for inverse quadratic regression models. Statistica Sinica

Holger Dette
Christine Kiss

January 2009

In this paper optimal experimental designs for inverse quadratic regression models are determined. W...

Regression analysis of full-rank experimental design models

Berthiaume, Sheridan J.

January 1971

Regression analysis is a powerful and general solution method for the analysis of variance of experi...

Constrained D- and D_1-optimal designs for polynomial regression

Dette, H.
Franke, T. (Bochum Univ. (Germany). Fakultaet fuer Mathematik)
Dortmund Univ. (Germany). Sonderforschungsbereich 475 - Komplexitaetsreduktion in multivariaten Datenstrukturen

January 2000

SIGLEAvailable from TIB Hannover: RR 8460(2000,37) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...

Polynomial regression with covariate measurement error

Chesher, A.
Bristol Univ. (United Kingdom). Dept. of Economics

January 1998

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.760(98/448) / BLDSC - British Li...

Optimal designs for estimating individual coefficients in polynomial regression - a functional approach

Dette, H. (Bochum Univ. (Germany). Fakultaet fuer Mathematik)
Melas, V.B.
Pepelyshev, A. (Sankt-Peterburgskij Univ., St. Petersburg (Russian Federation). Dept. of Mathematics)
Dortmund Univ. (Germany). Sonderforschungsbereich 475 - Komplexitaetsreduktion in multivariaten Datenstrukturen

January 2001

SIGLEAvailable from TIB Hannover: RR 8460(2001,1) / FIZ - Fachinformationszzentrum Karlsruhe / TIB -...

Optimal design spacing for the estimation of the quadratic inverse polynomial parameters

Part Time Mohd Zulhimi bin Zolkefali

The D-optimal design for estimating the parameters of the one-factor quadratic inverse polynomial re...

Optimal designs for inverse prediction in univariate nonlinear calibration models

François, Nancy
Govaerts, Bernadette
Boulanger, Bruno
6th Annual Congress of Chemometrics

January 2004

Univariate calibration models are intended to link a quantity of interest X (e.g. the concentration ...

Robust designs for polynomial regression by maximizing a minimum of D- and D_1-efficiencies

Dette, H.
Franke, T. (Bochum Univ. (Germany). Fakultaet fuer Mathematik)
Dortmund Univ. (Germany). Sonderforschungsbereich 475 - Komplexitaetsreduktion in multivariaten Datenstrukturen

January 2000

SIGLEAvailable from TIB Hannover: RR 8460(2000,38) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...

A generalised R"2 criterion for regression models estimated by the instrumental variable method

Pesaran, M.H
Cambridge Univ. (United Kingdom). Dept. of Applied Economics

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:3509.88(CU-DAE-WP--9220) / BLDSC - B...

Polynomial representations for response surface modelling

R. Draper
Friedrich Pukelsheim

January 1998

In response surface models the expected response is usually taken to be a low degree polynomial in t...

Parameter estimation based on stacked regression and evolutionary algorithms

Hong, X.
Billings, S.
Sheffield Univ. (United Kingdom). Dept. of Automatic Control and Systems Engineering

January 1997

SIGLEAvailable from British Library Document Supply Centre-DSC:7769.08577(692) / BLDSC - British Lib...

A model-independent measure of regression difficulty

Zhang, B.
Elkan, C.
Dayal, U.
Hewlett-Packard Laboratories, Bristol (United Kingdom)

January 2000

SIGLEAvailable from British Library Document Supply Centre-DSC:4335.26205(2000-5) / BLDSC - British ...

Estimated regression coefficients for the quadratic polynomial model and ANOVA for the experimental results in the optimization of flavonoids extractions.

Baolei Fan (1531009)
Jinmao You (1408165)
Yourui Suo (1531000)
Chunqi Qian (4732428)

June 2018

<p>Estimated regression coefficients for the quadratic polynomial model and ANOVA for the experiment...

Designing experiments under random contamination with application to polynomial spline regression

Woods, D.C.

January 2005

In science and engineering, there is often uncertainty in the linear model assumed for a response wh...

Estimation and testing of time varying coefficient regression models in the presence of linear restrictions

Leybourne, S
Nottingham Univ. (United Kingdom). Dept. of Economics

January 1990

SIGLEAvailable from British Library Document Supply Centre- DSC:3597.81(UN-DE-DP--90/4) / BLDSC - Br...

Optimal experimental designs for inverse quadratic regression models. Statistica Sinica

Holger Dette
Christine Kiss

January 2009

In this paper optimal experimental designs for inverse quadratic regression models are determined. W...

Regression analysis of full-rank experimental design models

Berthiaume, Sheridan J.

January 1971

Regression analysis is a powerful and general solution method for the analysis of variance of experi...

Constrained D- and D_1-optimal designs for polynomial regression

Dette, H.
Franke, T. (Bochum Univ. (Germany). Fakultaet fuer Mathematik)
Dortmund Univ. (Germany). Sonderforschungsbereich 475 - Komplexitaetsreduktion in multivariaten Datenstrukturen

January 2000

SIGLEAvailable from TIB Hannover: RR 8460(2000,37) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...

Polynomial regression with covariate measurement error

Chesher, A.
Bristol Univ. (United Kingdom). Dept. of Economics

January 1998

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.760(98/448) / BLDSC - British Li...

Optimal designs for estimating individual coefficients in polynomial regression - a functional approach

Dette, H. (Bochum Univ. (Germany). Fakultaet fuer Mathematik)
Melas, V.B.
Pepelyshev, A. (Sankt-Peterburgskij Univ., St. Petersburg (Russian Federation). Dept. of Mathematics)
Dortmund Univ. (Germany). Sonderforschungsbereich 475 - Komplexitaetsreduktion in multivariaten Datenstrukturen

January 2001

SIGLEAvailable from TIB Hannover: RR 8460(2001,1) / FIZ - Fachinformationszzentrum Karlsruhe / TIB -...

Optimal design spacing for the estimation of the quadratic inverse polynomial parameters

Part Time Mohd Zulhimi bin Zolkefali

The D-optimal design for estimating the parameters of the one-factor quadratic inverse polynomial re...

Optimal designs for inverse prediction in univariate nonlinear calibration models

François, Nancy
Govaerts, Bernadette
Boulanger, Bruno
6th Annual Congress of Chemometrics

January 2004

Univariate calibration models are intended to link a quantity of interest X (e.g. the concentration ...

Robust designs for polynomial regression by maximizing a minimum of D- and D_1-efficiencies

Dette, H.
Franke, T. (Bochum Univ. (Germany). Fakultaet fuer Mathematik)
Dortmund Univ. (Germany). Sonderforschungsbereich 475 - Komplexitaetsreduktion in multivariaten Datenstrukturen

January 2000

SIGLEAvailable from TIB Hannover: RR 8460(2000,38) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...

A generalised R"2 criterion for regression models estimated by the instrumental variable method

Pesaran, M.H
Cambridge Univ. (United Kingdom). Dept. of Applied Economics

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:3509.88(CU-DAE-WP--9220) / BLDSC - B...

Polynomial representations for response surface modelling

R. Draper
Friedrich Pukelsheim

January 1998

In response surface models the expected response is usually taken to be a low degree polynomial in t...

Parameter estimation based on stacked regression and evolutionary algorithms

Hong, X.
Billings, S.
Sheffield Univ. (United Kingdom). Dept. of Automatic Control and Systems Engineering

January 1997

SIGLEAvailable from British Library Document Supply Centre-DSC:7769.08577(692) / BLDSC - British Lib...

A model-independent measure of regression difficulty

Zhang, B.
Elkan, C.
Dayal, U.
Hewlett-Packard Laboratories, Bristol (United Kingdom)

January 2000

SIGLEAvailable from British Library Document Supply Centre-DSC:4335.26205(2000-5) / BLDSC - British ...

Estimated regression coefficients for the quadratic polynomial model and ANOVA for the experimental results in the optimization of flavonoids extractions.

Baolei Fan (1531009)
Jinmao You (1408165)
Yourui Suo (1531000)
Chunqi Qian (4732428)

June 2018

<p>Estimated regression coefficients for the quadratic polynomial model and ANOVA for the experiment...

Designing experiments under random contamination with application to polynomial spline regression

Woods, D.C.

January 2005

In science and engineering, there is often uncertainty in the linear model assumed for a response wh...

Estimation and testing of time varying coefficient regression models in the presence of linear restrictions

Leybourne, S
Nottingham Univ. (United Kingdom). Dept. of Economics

January 1990

SIGLEAvailable from British Library Document Supply Centre- DSC:3597.81(UN-DE-DP--90/4) / BLDSC - Br...

Optimal experimental designs for inverse quadratic regression models. Statistica Sinica

Holger Dette
Christine Kiss

January 2009

In this paper optimal experimental designs for inverse quadratic regression models are determined. W...

Regression analysis of full-rank experimental design models

Berthiaume, Sheridan J.

January 1971

Regression analysis is a powerful and general solution method for the analysis of variance of experi...

Constrained D- and D_1-optimal designs for polynomial regression

Dette, H.
Franke, T. (Bochum Univ. (Germany). Fakultaet fuer Mathematik)
Dortmund Univ. (Germany). Sonderforschungsbereich 475 - Komplexitaetsreduktion in multivariaten Datenstrukturen

January 2000

SIGLEAvailable from TIB Hannover: RR 8460(2000,37) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...

Experimental design criteria for parameter estimation and response prediction for inverse polynomial regression models

Abstract

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Experimental design criteria for parameter estimation and response prediction for inverse polynomial regression models

Abstract

Extracted data

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