La notation de probabilité et science actuarielle PDF Download

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 110

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Author: J. P. Van Rooijen
Publisher:
ISBN:
Category :
Languages : fr
Pages : 132

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Author: Jozephus Petrus van Rooijen
Publisher:
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Category :
Languages : nl
Pages : 110

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Author: Philip J. Boland
Publisher: CRC Press
ISBN: 158488696X
Category : Business & Economics
Languages : en
Pages : 368

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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' existing knowledge of probability and statistics by establishing a solid and thorough understanding of

Author: Jozephus Petrus van ROOIJEN
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Louis-Gustave Du Pasquier
Publisher:
ISBN:
Category : Insurance
Languages : fr
Pages : 188

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Author:
Publisher:
ISBN:
Category : Insurance
Languages : en
Pages : 1030

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List of members issued with v. 35- with separate paging.

Author: Steven Haberman
Publisher: Taylor & Francis
ISBN: 1040232159
Category : Business & Economics
Languages : en
Pages : 401

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A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.

Author: Erwin Straub
Publisher: Springer
ISBN: 9783642057410
Category : Mathematics
Languages : en
Pages : 138

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Book Description
The book gives a comprehensive overview of modern non-life actuarial science. It starts with a verbal description (i.e. without using mathematical formulae) of the main actuarial problems to be solved in non-life practice. Then in an extensive second chapter all the mathematical tools needed to solve these problems are dealt with - now in mathematical notation. The rest of the book is devoted to the exact formulation of various problems and their possible solutions. Being a good mixture of practical problems and their actuarial solutions, the book addresses above all two types of readers: firstly students (of mathematics, probability and statistics, informatics, economics) having some mathematical knowledge, and secondly insurance practitioners who remember mathematics only from some distance. Prerequisites are basic calculus and probability theory.

Author: Arlie O. Petters
Publisher: Springer
ISBN: 1493937839
Category : Mathematics
Languages : en
Pages : 499

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Book Description
This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student’s conceptual understanding and facility with applications. The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper. The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.