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...

Full description

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

Internet

Connect to the full text of this electronic book

Available Online

Holdings details from Available Online
Call Number: HM585
 
Call Number Status Get It
HM585 Available