The consequences of the misspecification of a regression model are considered. For small effects of covariates a proportional consistency theorem is derived. The consistent estimation of the covariance matrix of the estimates is discussed.
- Covariance matrix
- Linear combination of covariates
- Maximum likelihood
- Misspecification of model
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty