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Bayesian Analysis of Football Matches Played and Goals Scored: A Case Study of 2014 Fifa World Cup - Softcover
Synopsis
The book was aimed at determining the average performance of teams that participated at the 2014 World Cup in terms of goals scored. A total of 171 goals were scored by all the teams that participated at the tournament with an average goals of 1.3359 by each team. The team that scored the highest number of goals, the best attacking team (Germany) had 109.1% more goals than the average goals (100% ), while the team that conceded the least number of goals, the best defensive team (Costa-Rica) conceded 72.7% less goals than the average goals (100% ).Chi-square was used to show that goals scored at the tournament follows a Poisson distribution. Using a positive uniform prior (which is non-informative), the posterior distribution follows a Poisson distribution. The posterior mean (Bayes estimate) of goals scored per team at the tournament is 1.3249, while the posterior standard deviation is 0.120926. Using Bayesian approach based on conjugate families, the conjugate prior of a Poisson likelihood is a Gamma distribution with shape and rate parameter. The average goals scored per team was 1.3354 and a posterior standard deviation of 0.1018.
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Bayesian Analysis of Football Matches Played and Goals Scored
Published by
LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6200460264
ISBN 13: 9786200460264
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book was aimed at determining the average performance of teams that participated at the 2014 World Cup in terms of goals scored. A total of 171 goals were scored by all the teams that participated at the tournament with an average goals of 1.3359 by each team. The team that scored the highest number of goals, the best attacking team (Germany) had 109.1% more goals than the average goals (100% ), while the team that conceded the least number of goals, the best defensive team (Costa-Rica) conceded 72.7% less goals than the average goals (100% ).Chi-square was used to show that goals scored at the tournament follows a Poisson distribution. Using a positive uniform prior (which is non-informative), the posterior distribution follows a Poisson distribution. The posterior mean (Bayes estimate) of goals scored per team at the tournament is 1.3249, while the posterior standard deviation is 0.120926. Using Bayesian approach based on conjugate families, the conjugate prior of a Poisson likelihood is a Gamma distribution with shape and rate parameter. The average goals scored per team was 1.3354 and a posterior standard deviation of 0.1018. 80 pp. Englisch. Seller Inventory # 9786200460264
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Bayesian Analysis of Football Matches Played and Goals Scored : A Case Study of 2014 Fifa World Cup
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200460264
ISBN 13: 9786200460264
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book was aimed at determining the average performance of teams that participated at the 2014 World Cup in terms of goals scored. A total of 171 goals were scored by all the teams that participated at the tournament with an average goals of 1.3359 by each team. The team that scored the highest number of goals, the best attacking team (Germany) had 109.1% more goals than the average goals (100% ), while the team that conceded the least number of goals, the best defensive team (Costa-Rica) conceded 72.7% less goals than the average goals (100% ).Chi-square was used to show that goals scored at the tournament follows a Poisson distribution. Using a positive uniform prior (which is non-informative), the posterior distribution follows a Poisson distribution. The posterior mean (Bayes estimate) of goals scored per team at the tournament is 1.3249, while the posterior standard deviation is 0.120926. Using Bayesian approach based on conjugate families, the conjugate prior of a Poisson likelihood is a Gamma distribution with shape and rate parameter. The average goals scored per team was 1.3354 and a posterior standard deviation of 0.1018. Seller Inventory # 9786200460264
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Bayesian Analysis of Football Matches Played and Goals Scored
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200460264
ISBN 13: 9786200460264
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Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: M. Oladoja OladapoOladapo Oladoja holds a Professional Diploma, B.Sc (First Class Grade) and a M.Sc (PhD grade) in Statistics from the Univ. of Ibadan. His academic experience started from the Department of Actuarial Science, Univ. o. Seller Inventory # 497402092
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Bayesian Analysis of Football Matches Played and Goals Scored
Published by
LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10: 6200460264
ISBN 13: 9786200460264
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book was aimed at determining the average performance of teams that participated at the 2014 World Cup in terms of goals scored. A total of 171 goals were scored by all the teams that participated at the tournament with an average goals of 1.3359 by each team. The team that scored the highest number of goals, the best attacking team (Germany) had 109.1% more goals than the average goals (100% ), while the team that conceded the least number of goals, the best defensive team (Costa-Rica) conceded 72.7% less goals than the average goals (100% ).Chi-square was used to show that goals scored at the tournament follows a Poisson distribution. Using a positive uniform prior (which is non-informative), the posterior distribution follows a Poisson distribution. The posterior mean (Bayes estimate) of goals scored per team at the tournament is 1.3249, while the posterior standard deviation is 0.120926. Using Bayesian approach based on conjugate families, the conjugate prior of a Poisson likelihood is a Gamma distribution with shape and rate parameter. The average goals scored per team was 1.3354 and a posterior standard deviation of 0.1018.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Seller Inventory # 9786200460264
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Bayesian Analysis of Football Matches Played and Goals Scored | A Case Study of 2014 Fifa World Cup
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200460264
ISBN 13: 9786200460264
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Bayesian Analysis of Football Matches Played and Goals Scored | A Case Study of 2014 Fifa World Cup | Oladapo M. Oladoja | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200460264 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 120472664