𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Logistic curve fitting and parameter estimation using nonlinear noniterative least-squares regression analysis

✍ Scribed by Anthony Ayiomamitis

Publisher
Elsevier Science
Year
1986
Tongue
English
Weight
494 KB
Volume
19
Category
Article
ISSN
0010-4809

No coin nor oath required. For personal study only.

✦ Synopsis

A microcomputer program has been developed for the fitting of the logistic curve to biological, medical, and other experimental data. In addition to supplying estimates for all of the logistic curve parameters, the program provides the fitted result for each input datum thus allowing for the immediate assessment of the logistic curve and detection of possible OUtk.rS.

πŸ“œ SIMILAR VOLUMES

Nonlinear least-squares regression analy
Nonlinear least-squares regression analysis in pharmacokinetics: Application of a programmable calculator in model parameter estimation
✍ Keith T. Muir πŸ“‚ Article πŸ“… 1980 πŸ› Elsevier Science 🌐 English βš– 570 KB

Two programs allowing nonlinear least-squares fits to data conforming to the onecompartment oral and the two-compartment intravenous pharmacokinetic models are described. Model parameter estimates are obtained together with an estimate of the precision of these parameters. The method is based on the

Regional flood frequency analysis using
Regional flood frequency analysis using Bayesian generalized least squares: a comparison between quantile and parameter regression techniques
✍ Khaled Haddad; Ataur Rahman; Jery R. Stedinger πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 331 KB

## Abstract Regression‐based regional flood frequency analysis (RFFA) methods are widely adopted in hydrology. This paper compares two regression‐based RFFA methods using a Bayesian generalized least squares (GLS) modelling framework; the two are quantile regression technique (QRT) and parameter re