sitemap | contact us
      
 
  Book Series
  Journals
  Book Proposal Form
 
  Using Published Material
  Rights and Permissions
  Examination Copies
   
   
  List of Publishers
  Bargains
   
   
  Services
   
   
  About Narosa
  History
  Mission
  Group Companies
  Our Strength
  Alliances
   
   
   
 
view in print mode
Bayesian Parametric Inference
Author(s): Ashok K. Bansal

ISBN:    978-81-7319-800-7 
E-ISBN:   
Publication Year:   2007
Pages:   468
Binding:   Paper Back
Dimension:   185mm x 240mm
Weight:   600



About the book

Bayesian Parametric Inference provides a systematic exposition and discusses in detail the conjugate and noninformative prior distributions, predictive distributions and their applications to problems of inventory control, finite populations, structural change in the model and control problems. Information theoretic approach to construct maximal data information prior and maximum entropy priors is also discussed. Bayesian decision theoretic approach is followed to obtain Bayes estimates under various loss functions. The concept of Bayes Factor for comparing hypotheses is explained with the help of some simple but illustrative examples.


Key Features

  • More than 300 Solved Examples 250 Unsolved Exercises 350 Remarks Glossary of Bayesian Terms Exhaustive List of References



Table of Contents

Foreword / Preface / Probability, Random Variables and their Probability Distributions / Some Special Distributions / Bayes Theorem / Conjugate Prior Distribution / Non-Informative Priors / Bayes Estimation / Hypothesis Testing / Predictive Inference / Bayesian Inference for the Linear Model / Large Sample Approximations / Other Topics / Question Bank / Glossary / Tables / Bibliography / Index.




Audience

Senior Undergraduate & Graduate Students in Statistics


CLICK HERE


Group
| Companies | Mission | Strength | Values | History | Contact us
© Narosa Publishing House