EconPapers    
Economics at your fingertips  
 

Computing percentage points of the largest among Student's t random variables

Nadarajah Saralees
Additional contact information
Nadarajah Saralees: School of Mathematics, University of Manchester, Manchester M60 1QD, UK. Email: saralees.nadarajah@manchester.ac.uk

Monte Carlo Methods and Applications, 2008, vol. 14, issue 1, 75-84

Abstract: An approach is proposed for computing the percentile points of the maximum of k independent Student's t random variables. A simple program in R (a freely downloadable statistical software) is presented and its performance compared with other known approaches. Similar programs are presented for computing the percentile points of the componentwise maximum of k-variate t and k-variate normal vectors. The time efficiency of the programs is discussed.

Keywords: Student's t distribution; multivariate normal distribution; multivariate t distribution; R (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/MCMA.2008.004 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

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:bpj:mcmeap:v:14:y:2008:i:1:p:75-84:n:4

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/mcma/html

DOI: 10.1515/MCMA.2008.004

Access Statistics for this article

Monte Carlo Methods and Applications is currently edited by Karl K. Sabelfeld

More articles in Monte Carlo Methods and Applications from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:mcmeap:v:14:y:2008:i:1:p:75-84:n:4