Comparison Methods for Stochastic Models and Risks

Beschreibung

Stochastic orders are important approximation tools that provide valuable insight into the behaviour of complex stochastic models. Research into stochastic orders is blossoming, with many open problems being studied and a wide range of applications explored. In this book the authors explore the most important concepts of the field, from the basic univariate theory through to the most current applications. * Comprehensive coverage of the theory and applications of stochastic orders. * Employs a systematic approach with detailed explanation of each concept. * Features coverage of univariate and multivariate stochastic orders. * Covers a range of applications, from queueing theory, reliability theory, statistical physics, actuarial and financial risk, and economics. * Written by authors with many years experience in researching stochastic orders. Researchers and graduate students studying stochastic orders will find the comprehensive coverage of the subject ideal for their needs. The range of applications will benefit those working in applied probability and statistics, reliability, actuarial science, economics and finance.
Stochastische Ordnungsbeziehungen geben Aufschlüsse über das Verhalten komplexer stochastischer (zufälliger) Systeme und ermöglichen die Zusammenstellung signifikanter Vergleichsdaten. Zu den Anwendungsgebieten gehören die Organisation von Warteschlangen-Systemen (Queueing), die Abschätzung von Versicherungs- und Finanzrisiken, die Entscheidungstheorie und die stochastische Simulation, eingesetzt in den verschiedensten Wissenschaftsbereichen (Ökonomie, Finanzwirtschaft, Versicherungen, Operations-Research). Dieser Band faßt für Sie die neueste Forschungsergebnisse auf diesem Gebiet und aktuelle Anwendungen stochastischer Modelle zusammen.

Autor*in

Alfred Müller

Themen in »Comparison Methods for Stochastic Models and Risks«

Angewandte Wahrscheinlichkeitsrechnung u. Statistik Applied Probability & Statistics Econometrics Economics Engineering Statistics Statistics Statistik Statistik in den Ingenieurwissenschaften Stochastisches Modell Volkswirtschaftslehre Ökonometrie

Stimmen zu »Comparison Methods for Stochastic Models and Risks«

Details

Link teilen