EconPapers    
Economics at your fingertips  
 

Fundamental Concepts of Probability and Statistics

Nicolas Bousquet ()
Additional contact information
Nicolas Bousquet: EDF R&D

Chapter Chapter 4 in Extreme Value Theory with Applications to Natural Hazards, 2021, pp 35-58 from Springer

Abstract: Abstract This chapter recalls the fundamental concepts and results of probability theory and statistical theory. These are essential to understand and use the tools of extreme value theory in an appropriate way. From the notions of randomness, probability distributions to random processes, from classical estimators to regression models, this chapter aims to facilitate the technical understanding of the rest of this book.

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:sprchp:978-3-030-74942-2_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030749422

DOI: 10.1007/978-3-030-74942-2_4

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 2026-05-12
Handle: RePEc:spr:sprchp:978-3-030-74942-2_4