EconPapers    
Economics at your fingertips  
 

Introduction to Probability Theory

László Lakatos, László Szeidl and Miklós Telek
Additional contact information
László Lakatos: Eotvos Lorant University
László Szeidl: Obuda University
Miklós Telek: Technical University of Budapest

Chapter Chapter 1 in Introduction to Queueing Systems with Telecommunication Applications, 2019, pp 3-62 from Springer

Abstract: Abstract In this chapter we summarize the most important notions and facts of probability theory that are necessary for elaboration of our topic. In the present summary, we will apply the more specific mathematical concept and facts—mainly measure theory and analysis—only to a necessary extent while, however, maintaining mathematical precision. Readers interested in more detailed introduction to probability theory might consult Chow and Teicher (Probability theory, Springer, New York, 1978) and Kallenberg (Foundations of modern probability, Springer, New York, 2002).

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:978-3-030-15142-3_1

Ordering information: This item can be ordered from
http://www.springer.com/9783030151423

DOI: 10.1007/978-3-030-15142-3_1

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:978-3-030-15142-3_1