Insurance Risk and Ruin (International Series on Actuarial Science) pdf 下载 极速 mobi txt pdb lrf 网盘

Based on the author's experience of teaching final-year actuarial students in Britain and Australia, and suitable for a first course in insurance risk theory, this book focuses on the two major areas of risk theory - aggregate claims distributi*** and ruin theory. For aggregate claims distributi***, detailed descripti*** are given of recursive techniques that can be used in the individual and collective risk models. For the collective model, different classes of counting distribution are discussed, and recursion schemes for probability functi*** and moments presented. For the individual model, the three most commonly applied techniques are discussed and illustrated. Care has been taken to make the book accessible to readers who have a solid understanding of the basic tools of probability theory. Numerous worked examples are included in the text and each chapter concludes with exercises, which have answers in the book and full soluti*** available for instructors from www.cambridge***/9780521846400.

暂无相关目录，正在全力查找中！

暂无相关内容，正在全力查找中

暂无出版社相关信息，正在全力查找中！

暂无相关书籍摘录，正在全力查找中！

在线阅读地址：Insurance Risk and Ruin (International Series on Actuarial Science)在线阅读

在线听书地址：Insurance Risk and Ruin (International Series on Actuarial Science)在线收听

在线购买地址：Insurance Risk and Ruin (International Series on Actuarial Science)在线购买

暂无原文赏析，正在全力查找中！

书籍介绍

Based on the author's experience of teaching final-year actuarial students in Britain and Australia, and suitable for a first course in insurance risk theory, this book focuses on the two major areas of risk theory - aggregate claims distributi*** and ruin theory. For aggregate claims distributi***, detailed descripti*** are given of recursive techniques that can be used in the individual and collective risk models. For the collective model, different classes of counting distribution are discussed, and recursion schemes for probability functi*** and moments presented. For the individual model, the three most commonly applied techniques are discussed and illustrated. Care has been taken to make the book accessible to readers who have a solid understanding of the basic tools of probability theory. Numerous worked examples are included in the text and each chapter concludes with exercises, which have answers in the book and full soluti*** available for instructors from www.cambridge***/9780521846400.