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{ "item_title" : "Stochastic Processes for Insurance P", "item_author" : [" Tomasz Rolski", "Hanspeter Schmidli", "Volker Schmidt "], "item_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:the principle concepts of insurance and financepractical examples with real life datanumerical and algorithmic procedures essential for modern insurance practicesAssuming 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", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/47/074/363/0470743638_b.jpg", "price_data" : { "retail_price" : "116.95", "online_price" : "116.95", "our_price" : "116.95", "club_price" : "116.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Stochastic Processes for Insurance P|Tomasz Rolski

Stochastic Processes for Insurance P

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Overview

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:

  • the principle concepts of insurance and finance
  • practical examples with real life data
  • 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

This item is Non-Returnable

Details

  • ISBN-13: 9780470743638
  • ISBN-10: 0470743638
  • Publisher: Wiley
  • Publish Date: March 2009
  • Dimensions: 8.9 x 5.9 x 1.5 inches
  • Shipping Weight: 2.05 pounds
  • Page Count: 672

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