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Case Studies in Bayesian Statistics / edited by Constantine Gatsonis, James S. Hodges, Robert E. Kass, Nozer D. Singpurwalla.
Format
Book
Language
English
Εdition
1st ed. 1993.
Published/Created
New York, NY : Springer New York : Imprint: Springer, 1993.
Description
1 online resource (XIII, 437 p. 7 illus.)
Details
Subject(s)
Mathematics
[Browse]
Editor
Gatsonis, Constantine
[Browse]
Gatsonis, Constantine
[Browse]
Hodges, James S.
[Browse]
Hodges, James S.
[Browse]
Kass, Robert E.
[Browse]
Kass, Robert E.
[Browse]
Singpurwalla, Nozer D.
[Browse]
Singpurwalla, Nozer D.
[Browse]
Gatsonis, Constantine
[Browse]
Hodges, James S.
[Browse]
Kass, Robert E.
[Browse]
Singpurwalla, Nozer D.
[Browse]
Series
Lecture Notes in Statistics, 83
[More in this series]
Lecture Notes in Statistics, 2197-7186 ; 83
[More in this series]
Summary note
The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a growth spurt in the application of Bayesian methods. The purpose of this volume is to present several detailed examples of applications of Bayesian thinking, with an emphasis on the scientific or technological context of the problem being solved. The papers collected here were presented and discussed at a Workshop held at Carnegie-Mellon University, September 29 through October 1, 1991. There are five ma jor articles, each with two discussion pieces and a reply. These articles were invited by us following a public solicitation of abstracts. The problems they address are diverse, but all bear on policy decision-making. Though not part of our original design for the Workshop, that commonality of theme does emphasize the usefulness of Bayesian meth ods in this arena. Along with the invited papers were several additional commentaries of a general nature; the first comment was invited and the remainder grew out of the discussion at the Workshop. In addition there are nine contributed papers, selected from the thirty-four presented at the Workshop, on a variety of applications. This collection of case studies illustrates the ways in which Bayesian methods are being incorporated into statistical practice. The strengths (and limitations) of the approach become apparent through the examples.
Notes
Bibliographic Level Mode of Issuance: Monograph
Bibliographic references
Includes bibliographical references at the end of each chapters and index.
Language note
English
Contents
Invited Papers (with discussions)
Bayesian Estimation of Fuel Economy Potential Due to Technology Improvements
Bayes Analysis of Model-Based Methods for Nonignorable Nonresponse in the Harvard Medical Practice Survey
Use of Prior Information to Estimate Costs in a Sewerage Operation
Estimation of Bowhead Whale, Balaena mysticetus, Population Size
Bayesian Decision Support Using Environmental Transport-And-Fate Models
Final Discussions
Contributed Papers
Bayesian Analysis of the Ames Salmonella/Microsome Assay
A Clinical Experiment in Bone Marrow Transplantation: Estimating a Percentage Point of a Quantal Response Curve
The Composition of a Composition: Just the Facts
Predicting Coproduct Yields in Microchip Fabrication
Synchronicity of Whale Strandings with Phases of the Moon
Bayesian Predictive Inference for Small Areas for Binary Variables in the National Health Interview Survey
A Cost-Utility Analysis of Alternative Strategies in Screening for Breast Cancer
Restoration and Segmentation of Rail Surface Images
Assessing Mechanisms of Neural Synaptic Activity
Author Index.
Show 15 more Contents items
ISBN
1-4612-2714-3
Doi
10.1007/978-1-4612-2714-4
Statement on responsible collection description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Case studies in Bayesian statistics / Constantine Gatsonis ... [et al.].
id
998184353506421