𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Nonlinear least squares analysis of catalytic rate models

✍ Scribed by J. R. Kittrell; W. G. Hunter; C. C. Watson

Publisher
American Institute of Chemical Engineers
Year
1965
Tongue
English
Weight
833 KB
Volume
11
Category
Article
ISSN
0001-1541

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Nonlinear least squares for model screen
Nonlinear least squares for model screening
✍ Reiji Mezaki; James R. Kittrell πŸ“‚ Article πŸ“… 1968 πŸ› American Institute of Chemical Engineers 🌐 English βš– 374 KB
Nonlinear least squares fitting applied
Nonlinear least squares fitting applied to copolymerization modeling
✍ Alex M. Van Herk; Thomas DrΓΆge πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 803 KB

The choice of the statistical method to determine the reactivity ratios in copolymerization modeling is shown to be very important. Problems in literature, as well as possible pitfalls when using available statistical programs that are in itself correct are pointed out. These problems mainly involve

Two-Stage Least Squares Analysis of Hier
Two-Stage Least Squares Analysis of Hierarchical Linear Models
✍ Dr. I. B. Onukogu πŸ“‚ Article πŸ“… 1986 πŸ› John Wiley and Sons 🌐 English βš– 320 KB πŸ‘ 1 views

## BUninlUly This paper hes two major objectives. The first is to present a two-stage leaat square8 prooedure for estimation of the parameters in a linear model whose parameters are in themselves linear functions of some hyperparemeters. The eecond, and perhaps more important point, is that the ne

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