A useful tool for statistical estimation: genetic algorithms

DOI10.1080/00949650410001665626zbMath1059.62069OpenAlexW2054159962MaRDI QIDQ4665921

Hernando Ombao, Augusto Y. Hermosilla, Joseph M. Pasia

Publication date: 11 April 2005

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650410001665626

zbMATH Keywords

logistic modelGauss-Newton method

Mathematics Subject Classification ID

General nonlinear regression (62J02) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Double threshold autoregressive conditionally heteroscedastic model building by genetic algorithms

Uses Software

• GEATbx

Cites Work

• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• CLUSTERING PANEL DATA VIA PERTURBED ADAPTIVE SIMULATED ANNEALING AND GENETIC ALGORITHMS
• A method for the solution of certain non-linear problems in least squares
• Unnamed Item
• Unnamed Item

This page was built for publication: A useful tool for statistical estimation: genetic algorithms