The Origin and Early History of Insurance PDF Download
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Author: Charles Farley Trenerry
Publisher:
ISBN:
Category : Bottomry and respondentia
Languages : en
Pages : 356
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Book Description
Author: Charles Farley Trenerry
Publisher:
ISBN:
Category : Bottomry and respondentia
Languages : en
Pages : 356
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Book Description
Author: Institute of Bankers (Great Britain)
Publisher:
ISBN:
Category : Banks and banking
Languages : en
Pages : 768
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Book Description
Author: Faculty of Actuaries in Scotland
Publisher:
ISBN:
Category : Insurance
Languages : en
Pages : 470
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Book Description
List of members.
Author: Guillaume Wunsch
Publisher: Springer Science & Business Media
ISBN: 9401733813
Category : Social Science
Languages : en
Pages : 310
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Book Description
This work covers various important issues in life table construction and use. It. includes a non-technical overview, compares various methods of decomposing the difference in life expectancies, discusses the finding of suitable indicators and models, and deals with age, period, and cohort effects in mortality.
Author: Chartered Insurance Institute
Publisher:
ISBN:
Category : Insurance
Languages : en
Pages : 542
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Book Description
Author: Larry Heligman
Publisher:
ISBN: 9780858373822
Category : Life expectancy
Languages : en
Pages : 8
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Book Description
Author: M. Norton Wise
Publisher: Princeton University Press
ISBN: 9780691016016
Category : History
Languages : en
Pages : 392
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Book Description
This finite study examines how exactitude has come to occupy such a prominent place in Western culture. Beginning with the late 18th century and continuing into the 20th, the essays here support the view that centralizing states and large-scale commercial enterprises have long been the major promoters of numerical precision. Photos & illus.
Author: Frederick Robertson Macaulay
Publisher:
ISBN:
Category : Graphic methods
Languages : en
Pages : 172
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Book Description
Author: S. David Promislow
Publisher: John Wiley & Sons
ISBN: 0470978074
Category : Mathematics
Languages : en
Pages : 390
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Book Description
This book provides a comprehensive introduction to actuarial mathematics, covering both deterministic and stochastic models of life contingencies, as well as more advanced topics such as risk theory, credibility theory and multi-state models. This new edition includes additional material on credibility theory, continuous time multi-state models, more complex types of contingent insurances, flexible contracts such as universal life, the risk measures VaR and TVaR. Key Features: Covers much of the syllabus material on the modeling examinations of the Society of Actuaries, Canadian Institute of Actuaries and the Casualty Actuarial Society. (SOA-CIA exams MLC and C, CSA exams 3L and 4.) Extensively revised and updated with new material. Orders the topics specifically to facilitate learning. Provides a streamlined approach to actuarial notation. Employs modern computational methods. Contains a variety of exercises, both computational and theoretical, together with answers, enabling use for self-study. An ideal text for students planning for a professional career as actuaries, providing a solid preparation for the modeling examinations of the major North American actuarial associations. Furthermore, this book is highly suitable reference for those wanting a sound introduction to the subject, and for those working in insurance, annuities and pensions.
Author: Michel Denuit
Publisher: Springer Nature
ISBN: 303057556X
Category : Business & Economics
Languages : en
Pages : 235
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Book Description
This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models. Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and numerical illustrations or case studies. All numerical illustrations are performed with the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. In particular, master's students in actuarial sciences and actuaries wishing to update their skills in machine learning will find the book useful. This is the second of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance.
