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Artikelnummer: SK0009321-NL20260521-135915 Categorie: Tag:

Titel: Life Insurance Mathematics

Schrijver: Hans U. Gerber

Bindingswijze: Hardcover

EAN: 9783540622420

Conditie: Redelijk

Staat van dit boek
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Condities
Als nieuw Zo goed als nieuw, geen tot vrijwel geen gebruikssporen.
Goed Lichte gebruikssporen mogelijk, meestal geen aantekeningen.
Redelijk Zichtbaar gebruikt, kan sporen of aantekeningen bevatten.
Nieuw Ongelezen en in nieuwe staat.

Beschrijving:
From the reviews: “The highly esteemed 1990 first edition of this book now appears in a much expanded second edition. ….As already hinted at above, this book provides the ideal bridge between the classical (deterministic) life insurance theory and the emerging dynamic models based on stochastic processes and the modern theory of finance.

This concise introduction to life contingencies, the theory behind the actuarial work around life insurance and pension funds, will appeal to the reader who likes applied mathematics. In addition to model of life contingencies, the theory of compound interest is explained and it is shown how mortality and other rates can be estimated from observations. The probabilistic model is used consistently throughout the book. Numerous exercises (with answers and solutions) have been added, and for this third edition several misprints have been corrected.

From the reviews: “The highly esteemed 1990 first edition of this book now appears in a much expanded second edition. The difference between the first two English editions is entirely due to the addition of numerous exercises. The result is a truly excellent book, balancing ideally between theory and practice. ….As already hinted at above, this book provides the ideal bridge between the classical (deterministic) life insurance theory and the emerging dynamic models based on stochastic processes and the modern theory of finance. The structure of the bridge is very solid, though at the same time pleasant to walk along. I have no doubt that Gerber’s book will become the standard text for many years to come. Metrika, 44, 1996, 2