Testing The Order of Markov Dependence in Error Data of IEEE802.11a Standard | [Pakistan Journal of Statistics and Operation Research • 2019]

Author(s):

1. Shaghayegh Kordnoori: Department of Statistics, Science and Research Branch, Islamic Azad University, Tehran, Iran

2. Hamidreza Mostafaei: Department of Statistics, Tehran North Branch, Islamic Azad University, Tehran, Iran

3. Mohammad Hassan Behzadi: Department of Statistics, Science and Research Branch, Islamic Azad University, Iran

Abstract:

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.

Page(s): 617-625

DOI: DOI not available

Published: Journal: Pakistan Journal of Statistics and Operation Research, Volume: 15, Issue: 3, Year: 2019

Keywords:

IEEE 802 , Markov order , Whittles formula , Surrogate data

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