Mohlo by sa vám tiež páčiť

Informovať o naskladnení knihy

Viac informácií o knihe Statistical & Soft Computing Approaches in Insurance Problems

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 259 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Mathematical theory of computation

• Celý názov: Statistical & Soft Computing Approaches in Insurance Problems
• Autor: Antonio Heras, Sancho Salcedo-Sanz, Merce Claramunt-Bielsa, Jose Luis Vilar-Zanon
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 100
• EAN: 9781626185067
• ISBN: 9781626185067
• ID: 06439842
• Nakladateľ: Nova Science Publishers Inc
• Hmotnosť: 230 g
• Rozmery: 220 × 151 × 9 mm
• Dátum vydania: 19. June 2013

Obľúbené z iného súdka

---

---

---