| Dewey Class |
519 |
| Title |
Case Studies in Bayesian Statistics ([EBook] /) / edited by Constantine Gatsonis, James S. Hodges, Robert E. Kass, Nozer D. Singpurwalla. |
| Added Personal Name |
Gatsonis, Constantine editor. |
| Hodges, James S. editor. |
| Kass, Robert E. editor. |
| Singpurwalla, Nozer D. editor. |
| Other name(s) |
SpringerLink (Online service) |
| Publication |
New York, NY : : Springer New York, , 1993. |
| Physical Details |
XIII, 437 p. 7 illus. : online resource. |
| Series |
Lecture Notes in Statistics 0930-0325 ; ; 83 |
| ISBN |
9781461227144 |
| 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.: |
| Contents note |
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. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-1-4612-2714-4 |
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