TY - JOUR
T1 - Systematic and Unified Stochastic Tool to Determine the Multidimensional Joint Statistics of Arbitrary Partial Products of Ordered Random Variables
AU - Nam, Sung Sik
AU - Ko, Young-Chai
AU - Hwang, Duckdong
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This research was supported by the National Research Foundation of Korea(NRF) grant funded by the MSIT(NRF2018R1A2B2007789)
PY - 2019/9/19
Y1 - 2019/9/19
N2 - In this paper, we introduce a systematic and unified stochastic tool to determine the joint statistics of partial products of ordered random variables (RVs). With the proposed approach, we can systematically obtain the desired joint statistics of any partial products of ordered statistics in terms of the Mellin transform and the probability density function in a unified way. Our approach can be applied when all the K-ordered RVs are involved, even for more complicated cases, for example, when only the Ks (Ks
AB - In this paper, we introduce a systematic and unified stochastic tool to determine the joint statistics of partial products of ordered random variables (RVs). With the proposed approach, we can systematically obtain the desired joint statistics of any partial products of ordered statistics in terms of the Mellin transform and the probability density function in a unified way. Our approach can be applied when all the K-ordered RVs are involved, even for more complicated cases, for example, when only the Ks (Ks
UR - http://hdl.handle.net/10754/656918
UR - https://ieeexplore.ieee.org/document/8844664/
UR - http://www.scopus.com/inward/record.url?scp=85077682518&partnerID=8YFLogxK
U2 - 10.1109/access.2019.2942392
DO - 10.1109/access.2019.2942392
M3 - Article
SN - 2169-3536
VL - 7
SP - 139773
EP - 139786
JO - IEEE Access
JF - IEEE Access
ER -