Bayesian Approach For Forecasting Model: for crude oil data - Couverture souple

Titus, S. Sam; Santharam, C.; Anthony, Syluvai

 
9783659274763: Bayesian Approach For Forecasting Model: for crude oil data
Couverture souple
ISBN 10 : 3659274763 ISBN 13 : 9783659274763
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

Whenever question arises about uncertainty, it can be tackled by Bayesian tools and methods, with the help of priori probabilities and posterior probabilities. In general classical statistics selects just the “best” model and rejects all the others, even of they are only marginally worse than the best model, perhaps the model is a good fit, but in case of forecasting the future; there it fails. Now, the problem is uncertainty about model, in this book detailed discussion about Bayesian analysis and methods, that in contrast, will combine models of highly comparable for forecasting.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Whenever question arises about uncertainty, it can be tackled by Bayesian tools and methods, with the help of priori probabilities and posterior probabilities. In general classical statistics selects just the “best” model and rejects all the others, even of they are only marginally worse than the best model, perhaps the model is a good fit, but in case of forecasting the future; there it fails. Now, the problem is uncertainty about model, in this book detailed discussion about Bayesian analysis and methods, that in contrast, will combine models of highly comparable for forecasting.

Biographie de l'auteur

S. Sam Titus, obtained his bachelor's degree in Statistics and currently pursuing his post-graduation in Statistics in PG and Research Department of Statistics, Loyola College, Tamil Nadu, India. He stood first in academics and has been awarded Fr. Bertram Medal and many other for his proficiency in Statistics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659274763
ISBN 13 
9783659274763
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne