Linearization conditions for regression models with unknown variance parameter. (Q1581355)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Linearization conditions for regression models with unknown variance parameter. |
scientific article; zbMATH DE number 1508454
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Linearization conditions for regression models with unknown variance parameter. |
scientific article; zbMATH DE number 1508454 |
Statements
Linearization conditions for regression models with unknown variance parameter. (English)
0 references
14 September 2000
0 references
A detailed analysis of criteria for a linearization of regression models is given. The frequently occuring situation when a variance parameter is unknown is solved. Several inequalities useful for users are found out. A test of intrinsic nonlinearity more powerful than that one used until now is also shown. The developed theory is nicely demonstrated on the Michaelis-Menten model.
0 references
nonlinear regression models
0 references
linearization domains
0 references
linearization conditions
0 references
