An efficient algorithm to calculate the least squares estimates of the parameters in the logistic growth function and the application of beale’s measures of non-linearity for this model

DOI10.1007/BF02922909zbMath0297.62052MaRDI QIDQ4051431

R. M. J. Heuts

Publication date: 1974

Published in: Statistische Hefte (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Linear inference, regression (62J99) Algorithms in computer science (68W99)

Cites Work

• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• Asymptotic Efficiency of the Maximum Likelihood Estimator
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: An efficient algorithm to calculate the least squares estimates of the parameters in the logistic growth function and the application of beale’s measures of non-linearity for this model