EconPapers    
Economics at your fingertips  
 

Nonlinear Regression Models

Cynthia Fraser
Additional contact information
Cynthia Fraser: University of Virginia, McIntire School of Commerce

Chapter Chapter 9 in Business Statistics for Competitive Advantage with Excel 2019 and JMP, 2019, pp 195-235 from Springer

Abstract: Abstract In this chapter, nonlinear transformations are introduced that expand linear regression options to include situations in which marginal responses are either increasing or decreasing, rather than constant. We will explore Tukey’s Ladder of Powers to identify particular ways to efficiently rescale variables to produce valid models with superior fit. An example will be offered in the context of trend models built for forecasting, and in Chapter 11, examples with explanatory multiple regression models will be added.

Date: 2019
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:978-3-030-20374-0_9

Ordering information: This item can be ordered from
http://www.springer.com/9783030203740

DOI: 10.1007/978-3-030-20374-0_9

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 2026-05-22
Handle: RePEc:spr:sprchp:978-3-030-20374-0_9