• Produktbild: Semi-Markov Risk Models for Finance, Insurance and Reliability
  • Produktbild: Semi-Markov Risk Models for Finance, Insurance and Reliability

Semi-Markov Risk Models for Finance, Insurance and Reliability

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.11.2010

Abbildungen

XVIII, 430 p.

Verlag

Springer Us

Seitenzahl

430

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

674 g

Sprache

Englisch

ISBN

978-1-4419-4357-6

Beschreibung

Rezension

From the reviews:



"The book under review aims to give a complete and self-contained presentation of semi-Markov models with finitely many states, in view of solving real life problems of risk management in three main fields: Finance, Insurance and Reliability. … important feature of this book is its presentation of both homogenous and non-homogenous models. This book addresses a very large public as it includes undergraduate and graduate students in mathematics and applied mathematics, in economics and business studies, actuaries, financial intermediaries, engineers and operation researchers." (Nico G. Gamkrelidze, Zentralblatt MATH, Vol. 1144, 2008)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.11.2010

Abbildungen

XVIII, 430 p.

Verlag

Springer Us

Seitenzahl

430

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

674 g

Sprache

Englisch

ISBN

978-1-4419-4357-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Semi-Markov Risk Models for Finance, Insurance and Reliability
  • Produktbild: Semi-Markov Risk Models for Finance, Insurance and Reliability
  • Probability Tools For Stochastic Modelling.- Renewal Theory and Markov Chains.- Markov Renewal Processes, Semi-Markov Processes and Markov Random Walks.- Discrete Time and Reward Smp and their Numerical Treatment.- Semi-Markov Extensions of the Black-Scholes Model.- Other Semi-Markov Models in Finance and Insurance.- Insurance Risk Models.- Reliability and Credit Risk Models.- Generalised Non-Homogeneous Models for Pension Funds and Manpower Management.