Case Studies in Bayesian Statistics, Volume II. Vol.2

Like its predecessor, this second volume presents detailed applications of Bayesian statistical analysis, each of which emphasizes the scientific context of the problems it attempts to solve. The emphasis of this volume is on biomedical applications. These papers were presented at a workshop at Carnegie-Mellon University in 1993.

List of contents

Contents: A Bayesian Model for Organ Blood Flow Measurement with Colored Microspheres.- Elicitation, Monitoring, and Analysis for an AIDS Clinical Trial.- Accurate Restoration of DNA Sequences.- Analysis and Reconstruction of Medical Images Using Prior Information.- Combining Information from Multiple Sources in the Analysis of a Non-Equivalent Control Group Design.- Road Closure: Combining Data and Expert Opinion.- Optimal Design for Heart Defibrillators.- Longitudinal Care Patterns for Disabled Elders.- Bayesian Inference For the Mean of a Stratified Population When There Are Order Restrictions.- Hierarchical Modeling of Consumer Heterogeneity: Application to Target Marketing.

Summary

Like its predecessor, this second volume presents detailed applications of Bayesian statistical analysis, each of which emphasizes the scientific context of the problems it attempts to solve. The emphasis of this volume is on biomedical applications. These papers were presented at a workshop at Carnegie-Mellon University in 1993.

Product details

• Assisted by: Robert E Kaas et al (Editor), Constantine Gatsonis (Editor), James S. Hodges (Editor), Robert E. Kaas (Editor), Jame S Hodges (Editor), James S Hodges (Editor), Nozer D. Singpurwalla (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.1995
• EAN: 9780387945668
• ISBN: 978-0-387-94566-8
• No. of pages: 370
• Weight: 540 g
• Illustrations: XII, 370 p. 35 illus.
• Series: Lecture Notes in Statistics; Lecture Notes in Statistics
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics