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* Is there such a thing as a good death? * Should we be able to choose how we wish to die? * What are the ethical considerations that surround a good death? The notion of a `good death' plays an important role in modern palliative care and remains a topic for lively debate. Using philosophical methods and theories, this book provides a critical analysis of Western notions surrounding the dying process in the palliative care context. Sandman highlights how our changing ideas about the value of life inevitably shape the concept of a good death. He explores the varying perspectives on the good death that come from friends, family, physicians, spiritual carers and others close to the dying person. Setting out a number of arguments for and against existing thinking about a good death, this book links to the practice of palliative care in several key areas including: * An exploration of the universal features of dying * The process of facing death * Preparation for death * The environment of dying and death The author concludes that it is difficult to find convincing reasons for any one way to die a good death and argues for a pluralist approach. A Good Death is essential reading for students and professionals with an interest in palliative care and end-of-life issues.

Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students' A Good Death: On the Value of Death and Dying : On the value of death and dying download ebook existing knowledge of probability and statistics by establishing a solid and thorough understanding of these methods. It also emphasizes the wide variety of practical situations in insurance and actuarial science where these techniques may be used. Although some chapters are linked, several can be studied independently from the others. The first chapter introduces claims reserving via the deterministic chain ladder technique. The next few chapters survey loss distributions, risk models in a fixed period of time, and surplus processes, followed by an examination of credibility theory in which collateral and sample information are brought together to provide reasonable methods of estimation. In the subsequent chapter, experience rating via no claim discount schemes for motor insurance provides an interesting application of Markov chain methods. The final chapters discuss generalized linear models and decision and game theory.

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Author: Lars Sandman
Number of Pages: 184 pages
Published Date: 01 Sep 2004
Publisher: OPEN UNIVERSITY PRESS
Publication Country: Milton Keynes, United Kingdom
Language: English
ISBN: 9780335214112
Download Link: Click Here
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