Description

Book Synopsis
This book reviews the application of different statistical and Soft-Computing (SC) techniques in insurance-related problems. The book has been divided into 5 chapters, with the following structure: Chapter 1 provides a comprehensive review of SC techniques in insurance problems. A review of the application of these methods in insurance problems and a case study in a real problem completes this first chapter. Chapters 2 and 3 describe two different real applications of SC techniques in insurance. In this chapter, the authors describe the main concepts related to the algorithm and discuss different application of the algorithm in the insurance sector. Chapter 3 is devoted to a state-of-the-art technique in neural computation (Support Vector Machines, SVM). Chapter 4 presents a new mathematical tool based on modal intervals that allow us to process interval data (reflecting the fact that the data we are working with is not exact) and to interpret semantically the results obtained. Chapter 5 concentrates on two well-known risk measures: the Value at Risk and the Tail Value at Risk. The authors present a new analytical expression of the Tail Value at Risk using the Normal-Power approximation and they analyse its precision.

Statistical & Soft Computing Approaches in

    Product form

    £76.49

    Includes FREE delivery

    RRP £84.99 – you save £8.50 (10%)

    Order before 4pm today for delivery by Sat 25 Jul 2026.

    A Paperback / softback by Sancho Salcedo-Sanz, Mercè Claramunt-Bielsa, Jose Luis Vilar-Zanón

    1 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Statistical & Soft Computing Approaches in by Sancho Salcedo-Sanz

      Publisher: Nova Science Publishers Inc
      Publication Date: Publication Date: 19/06/2013
      ISBN13: 9781626185067, 978-1626185067
      ISBN10: 1626185069

      Description

      Book Synopsis
      This book reviews the application of different statistical and Soft-Computing (SC) techniques in insurance-related problems. The book has been divided into 5 chapters, with the following structure: Chapter 1 provides a comprehensive review of SC techniques in insurance problems. A review of the application of these methods in insurance problems and a case study in a real problem completes this first chapter. Chapters 2 and 3 describe two different real applications of SC techniques in insurance. In this chapter, the authors describe the main concepts related to the algorithm and discuss different application of the algorithm in the insurance sector. Chapter 3 is devoted to a state-of-the-art technique in neural computation (Support Vector Machines, SVM). Chapter 4 presents a new mathematical tool based on modal intervals that allow us to process interval data (reflecting the fact that the data we are working with is not exact) and to interpret semantically the results obtained. Chapter 5 concentrates on two well-known risk measures: the Value at Risk and the Tail Value at Risk. The authors present a new analytical expression of the Tail Value at Risk using the Normal-Power approximation and they analyse its precision.

      Recently viewed products

      © 2026 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