Logit and probit : binary and multinomial choice models /
Logit and probit are regression models for binary outcomes that allow one to avoid the problems associated with the linear probability model, such as nonconstant error variance and the unrealistic assumption of linearity in the parameters. Logit and probit also serve as building blocks for more adva...
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Bibliographic Details
| Main Author: |
Fullerton, Andrew S.
(Author) |
| Other Authors: |
Atkinson, Paul, 1947-
(Editor),
Delamont, Sara, 1947-
(Editor),
Cernat, Alexandru
(Editor),
Sakshaug, Joseph W.
(Editor),
Williams, Richard A., active 2020
(Editor) |
| Format: | eBook
|
| Language: | English |
| Published: |
London :
SAGE Publications Ltd.,
2020.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book
|