Forecasting Product Liability Claims - Epidemiology and Modeling in the Manville Asbestos Case (Paperback, Softcover reprint of hardcover 1st ed. 2004)

This selection of papers encompasses recent methodological advances in several important areas, such as multivariate failure time data and interval censored data, as well as innovative applications of the existing theory and methods. Using a rigorous account of statistical forecasting efforts that led to the successful resolution of the John-Manville asbestos litigation, the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensational events. Throughout the text, the emphasis is on the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the court's need for a definitive settlement, and how these opposing principles can be reconciled. A valuable reference for researchers and practitioners in the field of survival analysis.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Statistics for Biology and Health
Release date:	December 2010
First published:	2005
Authors:	Eric Stallard
Foreword by:	J.B. Weinstein
Authors:	Kenneth G. Manton • Joel E Cohen
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	394
Edition:	Softcover reprint of hardcover 1st ed. 2004
ISBN-13:	978-1-4419-2860-3
Categories:	Books > Business & Economics > Economics > Political economy Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Business & Economics > Finance & accounting > Finance > Insurance > General Books > Money & Finance > Insurance > General
LSN:	1-4419-2860-X
Barcode:	9781441928603

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