Bayesian Approach For Forecasting Model

S. Sam Titus

ISBN 10: 3659274763 / ISBN 13: 9783659274763

Published by LAP LAMBERT Academic Publishing Mär 2014, 2014

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

Seller Inventory # 9783659274763

Bibliographic Details

• Title: Bayesian Approach For Forecasting Model
• Publisher: LAP LAMBERT Academic Publishing Mär 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3659274763
• ISBN 13: 9783659274763
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 191 grams

About this title

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.

About the Author

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.