En esta primera parte se revisan las técnicas comúnmente usadas en la determinación de parámetros de modelos matemáticos no lineales.In this first part we shall decribe several techniques which have been effectively employed to estimate nonlinear model parameter
With reference to non-differential methods proposed in statistical literature for nonlinear confiden...
A computer-oriented technique is presented for performing a nonlinear exponential regression analysi...
Excerpt from the report Introduction: This paper presents two elementary methods for fitting three ...
Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald ...
Simple methods are presented for determining estimators to be used at the first stage of a nonlinear...
The results of analyzing experimental data using a parametric approach may heavily depend on the cho...
Linear regression models are useful for estimating statistical relationship between related variable...
*. *..4 b-b _ '.: T- " ' , _'-.. ''%4. " ' = , b,.--..*-....
Nonlinear regression models are more common as compared to linear ones for real life cases e.g. clim...
Regression analysis is an important statistical tool for analyzing the relationships between depende...
Se presenta el algoritmo del método Simplex y dos ejemplos de cálculo.This reports presents the algo...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, D-21400 Kiel W 1084 (13) / FI...
summary:In nonlinear regression models an approximate value of an unknown parameter is frequently at...
El análisis de regresión es una técnica para investigar, explicar y modelar la relación entre variab...
Linear and nonlinear methods for regression and classification and applications in
With reference to non-differential methods proposed in statistical literature for nonlinear confiden...
A computer-oriented technique is presented for performing a nonlinear exponential regression analysi...
Excerpt from the report Introduction: This paper presents two elementary methods for fitting three ...
Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald ...
Simple methods are presented for determining estimators to be used at the first stage of a nonlinear...
The results of analyzing experimental data using a parametric approach may heavily depend on the cho...
Linear regression models are useful for estimating statistical relationship between related variable...
*. *..4 b-b _ '.: T- " ' , _'-.. ''%4. " ' = , b,.--..*-....
Nonlinear regression models are more common as compared to linear ones for real life cases e.g. clim...
Regression analysis is an important statistical tool for analyzing the relationships between depende...
Se presenta el algoritmo del método Simplex y dos ejemplos de cálculo.This reports presents the algo...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, D-21400 Kiel W 1084 (13) / FI...
summary:In nonlinear regression models an approximate value of an unknown parameter is frequently at...
El análisis de regresión es una técnica para investigar, explicar y modelar la relación entre variab...
Linear and nonlinear methods for regression and classification and applications in
With reference to non-differential methods proposed in statistical literature for nonlinear confiden...
A computer-oriented technique is presented for performing a nonlinear exponential regression analysi...
Excerpt from the report Introduction: This paper presents two elementary methods for fitting three ...