EconPapers    
Economics at your fingertips  
 

Long memory analysis in DNA sequences

S.R.C. Lopes and M.A. Nunes

Physica A: Statistical Mechanics and its Applications, 2006, vol. 361, issue 2, 569-588

Abstract: Our goal in this work is to construct empirical confidence intervals for the fractional parameter d in ARFIMA(0,d,0) processes. Through these confidence intervals one can compare several estimators for d to decide which one is the best estimation method related to long memory time series. We use a fortran routine that simulates random time series to later perform an analysis for detecting long memory. We also apply the methodology to real DNA sequences to evaluate the efficiency of our method in the construction of these confidence intervals.

Keywords: Long memory; DNA sequences; Empirical confidence intervals (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437105007302
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

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:eee:phsmap:v:361:y:2006:i:2:p:569-588

DOI: 10.1016/j.physa.2005.06.099

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:361:y:2006:i:2:p:569-588