The existence of optimal parameters of the generalized logistic function
Applied Mathematics and Computation
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16)
Least-squares fitting Gompertz curve
Journal of Computational and Applied Mathematics
Criteria for global minimum of sum of squares in nonlinear regression
Computational Statistics & Data Analysis
Step size strategies for the numerical integration of systems of differential equations
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
Given the data (pi, ti, fi), i= 1,...., m, m 3, we consider the best least-squares approximation of parameters for the logistic function t ↦ f(t;α,β,γ)= α/(1 + eβ-γt), α, γ 0, β ∈ R. We give necessary and sufficient conditions which guarantee the existence of such optimal parameters.