Linear Parameter Estimation in Nonlinear Regression Models by Previous Data Transformation

Biometrical Journal ◽

10.1002/bimj.4710190405 ◽

1977 ◽

Vol 19 (4) ◽

pp. 253-256 ◽

Author(s):

H. Bunke

Keyword(s):

Parameter Estimation ◽

Nonlinear Regression ◽

Regression Models ◽

Data Transformation ◽

Linear Parameter ◽

Nonlinear Regression Models

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Optimal Experimental Design and Accuracy of Parameter Estimation for Nonlinear Regression Models Used in Long-term Selection

Biometrical Journal ◽

10.1002/bimj.4710370209 ◽

1995 ◽

Vol 37 (2) ◽

pp. 183-190 ◽

Author(s):

P. E. Rudolph ◽

G. Herrendörfer

Keyword(s):

Parameter Estimation ◽

Experimental Design ◽

Nonlinear Regression ◽

Regression Models ◽

Optimal Experimental Design ◽

Term Selection ◽

Nonlinear Regression Models

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A METHOD OF MOMENTS APPROACH TO PARAMETER ESTIMATION IN INTRINSICALLY NONLINEAR REGRESSION MODELS

Advances and Applications in Statistics ◽

10.17654/as049010001 ◽

2016 ◽

Vol 49 (1) ◽

pp. 1-20

Author(s):

Trijya Singh

Keyword(s):

Parameter Estimation ◽

Method Of Moments ◽

Nonlinear Regression ◽

Regression Models ◽

Nonlinear Regression Models

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Genetic algorithms in parameter estimation for nonlinear regression models: an experimental approach

Journal of Statistical Computation and Simulation ◽

10.1080/10629360600688244 ◽

2007 ◽

Vol 77 (10) ◽

pp. 851-867 ◽

Author(s):

Muzaffer Kapanoglu ◽

Ilker Ozan Koc ◽

Senol Erdogmus

Keyword(s):

Genetic Algorithms ◽

Parameter Estimation ◽

Nonlinear Regression ◽

Regression Models ◽

Experimental Approach ◽

Nonlinear Regression Models

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A note on parameter estimation in inadequate nonlinear regression models

Series Statistics ◽

10.1080/02331888108801565 ◽

1981 ◽

Vol 12 (1) ◽

pp. 7-11 ◽

Author(s):

H. Bunke

Keyword(s):

Parameter Estimation ◽

Nonlinear Regression ◽

Regression Models ◽

Nonlinear Regression Models

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A nonsequential design procedure for parameter estimation and model discrimination in nonlinear regression models

Journal of Statistical Planning and Inference ◽

10.1016/0378-3758(95)00182-4 ◽

1996 ◽

Vol 55 (1) ◽

pp. 77-93 ◽

Author(s):

Timothy E. O'Brien ◽

John O. Rawlings

Keyword(s):

Parameter Estimation ◽

Nonlinear Regression ◽

Regression Models ◽

Design Procedure ◽

Model Discrimination ◽

Nonlinear Regression Models

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Stochastic optimization algorithms of a Bayesian design criterion for Bayesian parameter estimation of nonlinear regression models: Application in pharmacokinetics

Mathematical Biosciences ◽

10.1016/s0025-5564(97)00017-5 ◽

1997 ◽

Vol 144 (1) ◽

pp. 45-70 ◽

Author(s):

Yann Merlé ◽

France Mentré

Keyword(s):

Parameter Estimation ◽

Stochastic Optimization ◽

Nonlinear Regression ◽

Regression Models ◽

Optimization Algorithms ◽

Design Criterion ◽

Bayesian Parameter Estimation ◽

Bayesian Design ◽

Nonlinear Regression Models ◽

Stochastic Optimization Algorithms

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The Mean Squared Error Optimum Design Criterion for Parameter Estimation in Nonlinear Regression Models

Communication in Statistics- Theory and Methods ◽

10.1080/03610920701669777 ◽

2008 ◽

Vol 37 (4) ◽

pp. 508-519 ◽

Author(s):

Takashi Daimon ◽

Masashi Goto

Keyword(s):

Parameter Estimation ◽

Optimum Design ◽

Nonlinear Regression ◽

Regression Models ◽

Mean Squared Error ◽

Design Criterion ◽

Nonlinear Regression Models ◽

Squared Error ◽

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18 Parameter estimation in nonlinear regression models

Handbook of Statistics - Analysis of Variance ◽

10.1016/s0169-7161(80)80048-4 ◽

1980 ◽

pp. 593-615 ◽

Author(s):

H. Bunke

Keyword(s):

Parameter Estimation ◽

Nonlinear Regression ◽

Regression Models ◽

Nonlinear Regression Models

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Statistical inference for nonlinear regression models

10.31274/rtd-180813-627 ◽

1971 ◽

Author(s):

A. Ronald Gallant

Keyword(s):

Statistical Inference ◽

Nonlinear Regression ◽

Regression Models ◽

Nonlinear Regression Models

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Statistical inference for nonlinear regression models

10.31274/rtd-180815-627 ◽

1971 ◽

Author(s):

A. Ronald Gallant

Keyword(s):

Statistical Inference ◽

Nonlinear Regression ◽

Regression Models ◽

Nonlinear Regression Models

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