Title : ( A Primer on a Flexible Bivariate Time Series Model for Analyzing First and Second Half Football Goal Scores: The Case of the Big 3 London Rivals in the EPL )
Authors: Yuvraj Sunecher , Naushad Mamode Khan , Vandna Jowaheer , Marcelo Bourguignon , Mohammad Arashi ,
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Abstract
The ranking of some English Premier League (EPL) clubs during football season is of keen interest to many stakeholders with special attention to the London rivals: Arsenal, Chelsea and Tottenham. In particular, the first (GF) and second half (GS) scores, besides being inter-related, is perceived as a convenient measure of the clubs potential. This paper studies the contributory effects of the possible factors that commonly influence the club scoring capacity in the halves along with forecasted measures diagnostics via a novel flexible bivariate time series model with COM-Poisson innovations using data from August 2014 to December 2017.
Keywords
, BINAR(1), Non-stationary, COM-Poisson, GQL, First half and second half goals
@article{paperid:1081509,
author = {Yuvraj Sunecher and Naushad Mamode Khan and Vandna Jowaheer and Marcelo Bourguignon and Arashi, Mohammad},
title = {A Primer on a Flexible Bivariate Time Series Model for Analyzing First and Second Half Football Goal Scores: The Case of the Big 3 London Rivals in the EPL},
journal = {Annals of Data Science},
year = {2019},
volume = {6},
number = {3},
month = {September},
issn = {2198-5804},
pages = {531--548},
numpages = {17},
keywords = {BINAR(1); Non-stationary; COM-Poisson; GQL; First half and second half goals},
}
%0 Journal Article
%T A Primer on a Flexible Bivariate Time Series Model for Analyzing First and Second Half Football Goal Scores: The Case of the Big 3 London Rivals in the EPL
%A Yuvraj Sunecher
%A Naushad Mamode Khan
%A Vandna Jowaheer
%A Marcelo Bourguignon
%A Arashi, Mohammad
%J Annals of Data Science
%@ 2198-5804
%D 2019
