On the grouped LSE under an errors-in-variables model
β Scribed by Michael G. Akritas
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 625 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0167-7152
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π SIMILAR VOLUMES
The Error-in-Variables Model (EVM) provides a means for estimating parameter values in mathematical models where there is error in every measured variable. This is a distinct improvement over the Method of Least Squares in most situations because the latter requires that there be error in measuring
Two new error-in-variables methods to estimate the reactivity ratios are developed. These are based on variants of the Skeist solution of the copolymerization equation. One method is suitable when one of the reactivity ratios is close to one and the other is for use when both ratios are close to one
## Abstract Summary: In copolymerization systems with implicit penultimate effect, there are two radical reactivity ratios, __s~a~__ and __s~b~__, which influence the reaction kinetics in addition to the monomer reactivity ratios, __r~a~__ and __r~b~__, which govern the copolymer composition. Here,