carrito Compra

(0 Productos)

Gastos de envío GRATIS

Solo para España


FORECASTING PRODUCT LIABILITY CLAIMS‚ Epidemiology and Modelling

FORECASTING PRODUCT LIABILITY CLAIMS- Epidemiology and Modelling-9780387949871
  1. Autor:

    Stallard

  2. Isbn:

    9780387949871

  3. Páginas:

    450

  4. Año:

    2004

  5. Edición:

    1

  6. Idioma:

    Ingles

  7. Disponibilidad:

    De 2 a 3 Semanas

Precio s/iva:

75.29 €

71,53  €
Volver

DESCRIPTION:
This volume presents a rigorous account of statistical forecasting efforts that led to the successful resolution of the Johns-Manville asbestos litigation. This case, taking 12 years to reach settlement, is expected to generate nearly 500,000 claims at a total nominal value of over $34 billion. The forecasting task, to project the number, timing, and nature of claims for asbestos-related injuries from a set of exposed persons of unknown size, is a general problem: 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 as a dangerous/defective product, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensable events. The volume stresses 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 the volume addresses how these opposing principles can be reconciled. The volume is written for a broad audience of actuaries, biostatisticians, demographers, economists, epidemiologists, environmental health scientists, financial analysts, industrial-risk analysts, occumpational health analysts, product liability analysts, and statisticians. The modest prerequisites include basic concepts of statistics, calculus, and matrix algebra. Care is taken that readers without specialized knowledge in these areas can understand the rationale for specific applications of advanced methods. As a consequence, this volume will be an indispensable reference for all whose work involves these topics.

CONTENTS:
1. Overview.
2. Epidemiology of asbestos-related diseases.
3. Forecasts based on direct estimates of exposure.
4. Forecasts based on indirect estimates of exposure.
5. Uncertainty in forecasts based on indirect estimates.
6. Updated forecasts based on indirect estimates of exposure.
7. Uncertainty in updated forecasts.
8. Forecasts based on a hybrid model.
9. Uncertainty in forecasts based on a hybrid model.
10. Conclusions and implications.



Libreria Médica Berri 2025 ®