Bayesian Approach For Forecasting Model: for crude oil data - Tapa blanda

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

 
9783659274763: Bayesian Approach For Forecasting Model: for crude oil data
Tapa blanda
ISBN 10: 3659274763 ISBN 13: 9783659274763
Editorial: LAP LAMBERT Academic Publishing, 2014

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

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.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3659274763
ISBN 13 
9783659274763
Encuadernación
Tapa blanda
Número de páginas
116
Contacto del fabricante
no disponible
Persona responsable
no disponible