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© 2011

Bayesian Theory and Methods with Applications

Textbook

Part of the Atlantis Studies in Probability and Statistics book series (ATLANTISSPS, volume 1)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Vladimir Savchuk, Chris P. Tsokos
    Pages 1-15
  3. Vladimir Savchuk, Chris P. Tsokos
    Pages 17-46
  4. Vladimir Savchuk, Chris P. Tsokos
    Pages 47-77
  5. Vladimir Savchuk, Chris P. Tsokos
    Pages 79-121
  6. Vladimir Savchuk, Chris P. Tsokos
    Pages 123-162
  7. Vladimir Savchuk, Chris P. Tsokos
    Pages 193-218
  8. Vladimir Savchuk, Chris P. Tsokos
    Pages 219-246
  9. Vladimir Savchuk, Chris P. Tsokos
    Pages 247-276
  10. Vladimir Savchuk, Chris P. Tsokos
    Pages 277-306
  11. Back Matter
    Pages 307-317

About this book

Introduction

Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical estimation of the unknown phenomenon of interest. The contents demonstrate that where such methods are applicable, they offer the best possible estimate of the unknown. Beyond presenting Bayesian theory and methods of analysis, the text is illustrated with a variety of applications to real world problems.

Keywords

Bayesian analysis Bayesian methodology Probability Statistics

Authors and affiliations

  1. 1.National Metallurgical Academy Of UkrainDnipropetrovskUkraine
  2. 2., Department of Mathematics and StatisticsUniversity of South FloridaTampaUSA

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