Description

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.

Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability the authors describe in general terms models based on Markov processes, martingales and various types of point processes.

Discussing frequently asked insurance questions, the authors present a coherent overview of this subject and specifically address:

  1. the principle concepts of insurance and finance
  2. practical examples with real life data
  3. numerical and algorithmic procedures essential for modern insurance practices

Assuming competence in probability calculus, this book will provide a rigorous treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial sciences.

“An excellent text”

Australian & New Zealand Journal of Statistics

Stochastic Processes for Insurance and Finance

Product form

£74.95

Includes FREE delivery
Usually despatched within days
Paperback / softback by Tomasz Rolski , Hanspeter Schmidli

1 in stock

Short Description:

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Stochastic Processes... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 28/10/2008
    ISBN13: 9780470743638, 978-0470743638
    ISBN10: 0470743638

    Number of Pages: 672

    Non Fiction , Business, Finance & Law

    • Tell a unique detail about this product5

    Description

    The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.

    Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. Building on recent and rapid developments in applied probability the authors describe in general terms models based on Markov processes, martingales and various types of point processes.

    Discussing frequently asked insurance questions, the authors present a coherent overview of this subject and specifically address:

    1. the principle concepts of insurance and finance
    2. practical examples with real life data
    3. numerical and algorithmic procedures essential for modern insurance practices

    Assuming competence in probability calculus, this book will provide a rigorous treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial sciences.

    “An excellent text”

    Australian & New Zealand Journal of Statistics

    Customer Reviews

    Be the first to write a review
    0%
    (0)
    0%
    (0)
    0%
    (0)
    0%
    (0)
    0%
    (0)

    Recently viewed products

    © 2024 Book Curl,

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account