MTU Cork Library Catalogue

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The practice of Bayesian analysis / edited by Simon French and Jim Q. Smith.

Contributor(s): French, Simon, 1950- | Smith, Jim Q.
Material type: materialTypeLabelBookPublisher: London : New York : Arnold, J. ; Wiley & Sons, 1997Description: ix, 284 p. : ill. ; 24 cm.ISBN: 0340662409 ; 0471194778 .Subject(s): Bayesian statistical decision theoryDDC classification: 519.542
Contents:
Bayesian analysis -- Mathematical review of Swedish Bayesian methodology for nuclear plant reliability databases -- Baye's theorem and decision support in 'front line' clinical medicine -- Developing a Baye's linear decision support system for a brewery -- Bayesian methods in reservoir operations: the Zambezi -- Event conditional attribute modelling in decision making when there is a threat of a nuclear accident -- Optimal decisions that reduce flood damage along the Meuse: an uncertainty analysis -- The ABLE story: Bayesian asset management in the water industry -- The rise and fall of the US Department of Energy's environmental restoration priority system -- Model elicitation in competitive markets -- Building a Bayesian model in a scientific environment: managing uncertainty after an accident -- Project evaluation in drug development: a case study in collaboration.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 519.542 (Browse shelf(Opens below)) 1 Available 00069962
Total holds: 0

Enhanced descriptions from Syndetics:

The Bayesian approach to statistics and decision analysis is establishing itself as a powerful and practical tool to support the non-statistical, but otherwise technical, modeler. Recent advances in computational techniques have made Bayesian methods both accessible and widely applicable. This collection provides an argument for the wide application of Bayesian methods and includes an extensive collection of examples, techniques, and advice.

Includes bibliographical references and index.

Bayesian analysis -- Mathematical review of Swedish Bayesian methodology for nuclear plant reliability databases -- Baye's theorem and decision support in 'front line' clinical medicine -- Developing a Baye's linear decision support system for a brewery -- Bayesian methods in reservoir operations: the Zambezi -- Event conditional attribute modelling in decision making when there is a threat of a nuclear accident -- Optimal decisions that reduce flood damage along the Meuse: an uncertainty analysis -- The ABLE story: Bayesian asset management in the water industry -- The rise and fall of the US Department of Energy's environmental restoration priority system -- Model elicitation in competitive markets -- Building a Bayesian model in a scientific environment: managing uncertainty after an accident -- Project evaluation in drug development: a case study in collaboration.

Table of contents provided by Syndetics

  • List of Contributors
  • Preface
  • 1 Bayesian Analysis
  • 2 Mathematical Review of Swedish Bayesian Methodology for Nuclear Plant Reliability Data Bases
  • 3 Bayes' Theorem and Decision Support in 'Front Line' Clinical Medicine
  • 4 Developing a Bayes Linear Decision Support System for a Brewery
  • 5 Bayesian Methods in Reservoir Operations: the Zambezi River Case
  • 6 Event Conditional Attribute Modelling in Decision Making when there is a Threat of a Nuclear Accident
  • 7 Optimal Decisions that Reduce Flood Damage along the Meuse: an Uncertainty Analysis
  • 8 The ABLE Story: Bayesian Asset Management in the Water Industry
  • 9 The Rise and Fall of the US Department of Energy's Environmental Restoration Priority System
  • 10 Model Elicitation in Competitive Markets
  • 11 Building a Bayesian Model in a Scientific Environment: Managing Uncertainty after an Accident
  • 12 Project Evaluation in Drug Development: a Case Study in Collaboration
  • Index

Author notes provided by Syndetics

Simon French is at Manchester University, UK.

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