EconPapers    
Economics at your fingertips  
 

Area Under Curves

Thomas J. Pfaff ()
Additional contact information
Thomas J. Pfaff: Ithaca College, Department of Mathematics

Chapter Chapter 28 in Applied Calculus with R, 2023, pp 317-329 from Springer

Abstract: Abstract Up to this point we have developed techniques to extra information about curves related to their rate of change. We can now quantify how fast a curve is increasing or decrease, identify maximum and minimum points, and identify inflection points. There is still more valuable information in the graphs that we would like to quantify. For example, in the Function Gallery figure 3.8 has data and models to represent distribution of energy consumption in the U.S. and World. The line $$y=x$$ y = x would represent perfect equality of the distribution of energy. The area between the curve and $$y=x$$ y = x is used to quantify how much the given resource, in this case energy, deviates from equality; known as the Gini coefficient (technically the Gini coefficient is this area divided by 2). The problem now is how do we calculate this area? Here is another example.

Date: 2023
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:978-3-031-28571-4_28

Ordering information: This item can be ordered from
http://www.springer.com/9783031285714

DOI: 10.1007/978-3-031-28571-4_28

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:978-3-031-28571-4_28