Edité par LAP Lambert Academic Publishing, 2019
ISBN 10 : 6200460264 ISBN 13 : 9786200460264
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Etat : New.
Edité par LAP Lambert Academic Publishing 10/30/2019, 2019
ISBN 10 : 6200460264 ISBN 13 : 9786200460264
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
Paperback or Softback. Etat : New. Bayesian Analysis of Football Matches Played and Goals Scored 0.28. Book.
Edité par LAP Lambert Academic Publishing, 2019
ISBN 10 : 6200460264 ISBN 13 : 9786200460264
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Edité par LAP Lambert Academic Publishing 2019-10, 2019
ISBN 10 : 6200460264 ISBN 13 : 9786200460264
Vendeur : Chiron Media, Wallingford, Royaume-Uni
PF. Etat : New.
Edité par LAP LAMBERT Academic Publishing Okt 2019, 2019
ISBN 10 : 6200460264 ISBN 13 : 9786200460264
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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.
Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 6200460264 ISBN 13 : 9786200460264
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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.
Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 6200460264 ISBN 13 : 9786200460264
Vendeur : moluna, Greven, Allemagne
Etat : 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.