Probit and Logit Regression

Sunil Kumar ()

Chapter Chapter 20 in Python for Accounting and Finance, 2024, pp 329-341 from Springer

Abstract: Abstract The probit model and logit model are both types of generalized linear models (GLMs) used to analyze the relationship between a binary dependent variable and one or more independent variables. While they are similar in many aspects, they differ in the link function they use to model the relationship between the dependent and independent variables.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-54680-8_20

Ordering information: This item can be ordered from
http://www.springer.com/9783031546808

DOI: 10.1007/978-3-031-54680-8_20

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().