EconPapers    
Economics at your fingertips  
 

The Role of Differential Equations in Applied Statistics

Christos P. Kitsos () and C. S. A. Nisiotis ()
Additional contact information
Christos P. Kitsos: University of West Attica
C. S. A. Nisiotis: University of West Attica

A chapter in Nonlinear Analysis, Differential Equations, and Applications, 2021, pp 209-230 from Springer

Abstract: Abstract The target of this paper is to discuss, investigate and present how the differential equations are applied in Statistics. The stochastic orientation of Statistics creates problems to adopt the differential equations as an individual tool, but Applied Statistics is using the differential equations either through applications from other fields, like Chemistry or as a tool to explain “variation” in stochastic processes.

Date: 2021
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:spochp:978-3-030-72563-1_10

Ordering information: This item can be ordered from
http://www.springer.com/9783030725631

DOI: 10.1007/978-3-030-72563-1_10

Access Statistics for this chapter

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

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-3-030-72563-1_10