10% off all books and free delivery over £40 - Last Express Posting Date for Christmas: 20th December
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Forecasting Product Liability Claims

View All Editions

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Forecasting Product Liability Claims Synopsis

I write this foreword for two reasons: first, to acknowledge the gratitude of our court system to scientists willing to lend their talents to forensic tasks, and of myself, in particular, for the pathbreaking work of Eric Stallard, Kenneth G. Manton, and Joel E. Cohen in the Manville Asbestos Case; and second, because their work suggests both great strength and utility in their statisti- cally based design and its limitations in predicting events strongly affected by political and social choices that are difficult to foretell as well as by de- mographic and epidemiologic factors that can be prophesied with somewhat more confidence - at least in the short term. It is by now almost axiomatic that almost every important litigation in the United States requires experts to help judges and juries arrive at an under- standing of the case sufficient to permit a sensible resolution within the flexible scope of our rules of law. The Supreme Court has laid down useful rough cri- teria for the courts in assessing the capability of proffered experts beginning 1 with the Daubert line of cases. It has also allowed the courts to appoint ex- 2 perts to supplement those designated by the parties. Dr. Joel E. Cohen and Professor Margaret E. Berger were appointed by me in the Manville asbestos cases pursuant to Rule 706 of the Federal Rules of Evidence to help project future claims. Discovery provisions have improved utilization of experts by 3 requiring advance reports and depositions.

About This Edition

ISBN: 9780387949871
Publication date: 25th October 2004
Author: Eric Stallard, Kenneth G Manton, Joel E Cohen
Publisher: Springer an imprint of Springer New York
Format: Hardback
Pagination: 394 pages
Series: Statistics for Biology and Health
Genres: Insurance and actuarial studies
Epidemiology and Medical statistics
Population and demography
Probability and statistics