[Forum SIS] [EJASA] Special Issue "STATISTICS IN SPORTS" Published 2017 - Vol 10, No 3

Paola Zuccolotto paola.zuccolotto a unibs.it
Mer 15 Nov 2017 19:21:59 CET


Dear SIS Members,

we are very pleased to inform you that EJASA (Electronic Journal of 
Applied Statistical
Analysis, http://siba-ese.unile.it/index.php/ejasa) has just published 
the Special Issue "Statistics in Sports".

We invite you to read the Table of Contents here and then visit our web site
for the articles of interest.

Best regards,
the Guest Editors

Paola Zuccolotto, University of Brescia, Italy
Marica Manisera, University of Brescia, Italy
Ron Kenett, KPA Ltd., Israel

-----------------------

*Electronic Journal of Applied Statistical Analysis (EJASA)*
Vol 10, No 3 (2017)

http://siba-ese.unile.it/index.php/ejasa/issue/view/1509 
<http://siba-ese.unile.it/index.php/ejasa/issue/view/1498>

*STATISTICS IN SPORTS*

/Project BDSports (Big Data Analytics in Sports)
bodai.unibs.it/BDSports 
<http://siba-ese.unile.it/index.php/ejasa/editor/editIssue/bodai.unibs.it/BDSports>/

This Special Issue has been promoted by BDSports (Big Data Analytics in 
Sports), a project developed as part of the activities of the Big & Open 
Data Innovation Laboratory of the University of Brescia, born in 2016 
thanks to the financial support of Fondazione Cariplo and Regione 
Lombardia. BDSports is designed to set up a unique collaboration of 
experts interested in sport analytics both from a scientific and a 
practical point of view. The goal is to create a network able to 
facilitate contacts and joint research initiatives. Specifically, the 
project aims to organise events, carry out Special Issues in scientific 
journals, share ideas and data in order to publish scientific and 
non-scientific papers, collaborate with teams in various sports by 
supplying them analytics and apply for research grants. The data 
scientists expertise covers a wide range of quantitative tools in the 
fields of statistical modelling, multivariate data analysis, data 
mining, algorithmic modelling and machine learning.

*
Table of Contents

*
Modelling Penalty Cards in Football with Applications
Emilio Gónez-Déniz, Nancy Dávila-Cárdenes

Modelling Football Data Using a GQL Algorithm based on Higher Ordered 
Covariances
Naushad Mamode Khan, Yuvraj Sunecher, Vandna Jowaheer

On the credibility of basketball scoring efficiency
Antonio Ángel Pulgarín García, José Pablo Arias-Nicolás, Héctor Valentín 
Jiménez-Naranjo

The effect of uncertainty on the assessment of individual performance: 
empirical evidence from professional soccer
Fabio Fin, Maria Iannario, Domenico Piccolo, Rosaria Simone

A new markovian model for tennis matches
Andrea Carrari, Marco Ferrante, Giovanni Fonseca

Role revolution: towards a new meaning of positions in basketball
Federico Bianchi, Tullio Facchinetti, Paola Zuccolotto

Is There a Bye Week Advantage in College Football?
Eric B Howington, K. Nathan Moates

Devising a fairer method for adjusting target scores in interrupted 
one-day international cricket
Jack Hogan, Edward Cohen, Niall Adams

Regular point scoring by professional basketball players
Manuel Ruiz Marin, Fernando Lopez, Jose Antonio Martinez, Martí Casals

Measuring the efficiency of Russian Football Premier League clubs
Yuri Zelenkov, Ilya Solntsev

Tennis betting: can statistics beat bookmakers?
Francesco Lisi

Spatio-Temporal Movements in Team Sports: A Visualization approach using 
Motion Charts
Rodolfo Metulini


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