EconPapers    
Economics at your fingertips  
 

Nonlinear and Logistic Regression

Scott A. Pardo
Additional contact information
Scott A. Pardo: Ascensia Diabetes Care, Global Medical & Clinical Affairs

Chapter Chapter 14 in Beyond the T-Test, 2025, pp 147-154 from Springer

Abstract: Abstract In some cases, the relationships between responses and “regressors” cannot be adequately described by even a simple kth order polynomial. A very important case is that of logistic regression, where the response variable is binary. This chapter discusses those cases.

Date: 2025
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:978-3-031-84479-9_14

Ordering information: This item can be ordered from
http://www.springer.com/9783031844799

DOI: 10.1007/978-3-031-84479-9_14

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 ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-031-84479-9_14