EconPapers    
Economics at your fingertips  
 

Ideal Metric with Respect to Maxima Scheme of i.i.d. Random Elements

Svetlozar T. Rachev, Lev B. Klebanov, Stoyan V. Stoyanov and Frank J. Fabozzi
Additional contact information
Svetlozar T. Rachev: Stony Brook University, Department of Applied Mathematics and Statistics College of Business
Lev B. Klebanov: Charles University, Department of Probability and Statistics
Stoyan V. Stoyanov: EDHEC Business School EDHEC-Risk Institute
Frank J. Fabozzi: EDHEC Business School EDHEC-Risk Institute

Chapter Chapter 19 in The Methods of Distances in the Theory of Probability and Statistics, 2013, pp 421-477 from Springer

Abstract: Abstract In this chapter, we discuss the problem of estimating the rate of convergence in limit theorems arising from the maxima scheme of independent and identically distributed (i.i.d.) random elements.

Keywords: Banach Space; Random Vector; Random Element; Tail Condition; Probability Metrics (search for similar items in EconPapers)
Date: 2013
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:978-1-4614-4869-3_19

Ordering information: This item can be ordered from
http://www.springer.com/9781461448693

DOI: 10.1007/978-1-4614-4869-3_19

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 2026-07-12
Handle: RePEc:spr:sprchp:978-1-4614-4869-3_19