Inductive learning models with missing values
✍ Scribed by I. Fortes; L. Mora-López; R. Morales; F. Triguero
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 341 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0895-7177
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## A bstvxt Several theorems on estimation and verification of linear hypotheses in some iiiodels are given. The assumptions are as follows. Let y=Xp + e or (y, Xp, uZV) be a fixed model whei~e y is a vector of n observations, X is a known matrix n x p with rank r ( X ) = r s p < n , where 1' is H
In this article we show, by means of a practical example of a path model to explain opinions or attitudes and using a dataset well-known in The Netherlands, that the intercorrelations of the variables may be highly dependent on the number of variables and the corresponding number of missing data inv