Semi-Markov Risk Models for Finance, Insurance and Reliability / Nejlevnější knihy
Semi-Markov Risk Models for Finance, Insurance and Reliability

Kód: 01422845

Semi-Markov Risk Models for Finance, Insurance and Reliability

Autor Jacques Janssen, Raimondo Manca

This book presents applications of semi-Markov processes in finance, insurance and reliability, using real-life problems as examples. After a presentation of the main probabilistic tools necessary for understanding of the book, th ... celý popis

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Anotace knihy

This book presents applications of semi-Markov processes in finance, insurance and reliability, using real-life problems as examples. After a presentation of the main probabilistic tools necessary for understanding of the book, the authors show how to apply semi-Markov processes in finance, starting from the axiomatic definition and continuing eventually to the most advanced financial tools, particularly in insurance and in risk-and-ruin theories. Also considered are reliability problems that interact with credit risk theory in finance. The unique approach of this book is to solve finance and insurance problems with semi-Markov models in a complete way and furthermore present real-life applications of semi-Markov processes.§Audience§This book is intended for applied mathematicians, statisticians, financial intermediaries, actuaries, engineers, operations researchers.Everyone working in related fields from applied mathematicians to statisticians to actuaries and operations researchers will find this a brilliantly useful practical text. The book presents applications of semi-Markov processes in finance, insurance and reliability, using real-life problems as examples. After a presentation of the main probabilistic tools necessary for understanding of the book, the authors show how to apply semi-Markov processes in finance, starting from the axiomatic definition and continuing eventually to the most advanced financial tools.

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Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Calculus & mathematical analysis

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