markov dependence
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Author(s):  
Shaghayegh Kordnoori ◽  
Hamidreza Mostafaei ◽  
Mohammad Hassan Behzadi

The Markov order is a crucial measure of the memory of a process and its information is essential for appropriate simulation of aspects of the process. In this paper we suggest a robust and straightforward exact significance test based on generating surrogate data to assess the Markov order of a time series. This method is valid for any sample size and certifies a uniform sampling from the set of sequences that definitely have the nth order characteristics of the observed data. The Markov property and order of IEEE802.11a errors are investigated using this test.


2017 ◽  
Vol 33 (4) ◽  
pp. 617-632 ◽  
Author(s):  
Søren Asmussen ◽  
Julie Thøgersen

2014 ◽  
Vol 8 ◽  
pp. 8611-8621 ◽  
Author(s):  
Usman Yusuf Abubakar ◽  
Danladi Hakimi ◽  
Abdulrahman Ndanusa ◽  
Vincent Aforkeoghene Jevwia

Biometrics ◽  
2009 ◽  
Vol 65 (4) ◽  
pp. 1296-1305 ◽  
Author(s):  
Stacia M. DeSantis ◽  
E. Andrés Houseman ◽  
Brent A. Coull ◽  
David N. Louis ◽  
Gayatry Mohapatra ◽  
...  

2008 ◽  
Vol 13 (1) ◽  
pp. 59-74 ◽  
Author(s):  
M. L. Menéndez ◽  
L. Pardo ◽  
M. C. Pardo ◽  
K. Zografos

2008 ◽  
Vol 11 (2) ◽  
pp. 209 ◽  
Author(s):  
Boldrighini ◽  
Minlos ◽  
Pellegrinotti

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