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
Nonlinear least-absolute-values and minimax model fitting
β Scribed by A. van den Bos
- Publisher
- Elsevier Science
- Year
- 1988
- Tongue
- English
- Weight
- 514 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A Monte Carlo simulation is used to compare forecasts from least absolute value and least squares estimated regression equations. When outliers are present, the least absolute value forecasts are shown to be superior to least squares forecasts. The results emphasize the importance of exercising caut
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 immedia
The relativistic Gaussian basis set of Hg has been obtained by fitting the numerical relativistic atomic radial wave functions with the adaptive nonlinear least-square algorithm combined with the subset selection method. This fitting procedure and fitted results are presented. From this basis, in a