EconPapers    
Economics at your fingertips  
 

Stochastic Processes and Markov Chains

H. A. Eiselt and Carl-Louis Sandblom
Additional contact information
H. A. Eiselt: University of New Brunswick
Carl-Louis Sandblom: Dalhousie University

Chapter 13 in Operations Research, 2022, pp 425-437 from Springer

Abstract: Abstract Some of the previous chapters have dealt with random events in an ad hoc fashion. This chapter will deal with such events in a systematic way. In general, in stochastic processes, events occur over time. Time can be dealt with either in continuous fashion, or in discrete fashion. In the continuous case, we may look at the speed of an automobile at any given point in time or at the inventory level of a product in a supermarket at any time. In the discrete case, speed or inventory level are observed only during specific points in time, e.g., each minute, once a week or at similar intervals. In this chapter, we only deal with discrete-time models. The following three sections will introduce some of the basic ideas of stochastic processes and Markov chains.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

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:sptchp:978-3-030-97162-5_13

Ordering information: This item can be ordered from
http://www.springer.com/9783030971625

DOI: 10.1007/978-3-030-97162-5_13

Access Statistics for this chapter

More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:sptchp:978-3-030-97162-5_13