Risk - A Multidisciplinary Introduction

12.03.2014

Englisch

9783319044859

Springer International Publishing

Nein

476

Gebundene Ausgabe

The research interests of Claudia Klüppelberg combine various disciplines of applied probability theory and statistics with applications to risk measurement in the areas of economic, technical and climate risks. Her fundamental research concentrates on advancing the modeling and the methodology for risk analysis and risk measurement with applications to real-world problems. Before being appointed Full Professor of Mathematical Statistics at the Technische Universität München (TUM), she spent several years at ETH Zurich and at Mainz University. From 2008 to 2011 she chaired the focus group Risk Analysis and Stochastic Modeling at the TUM’s Institute for Advanced Study. Daniel Straub develops and teaches reliability analysis, risk assessment and probabilistic decision making for infrastructure, environmental and general engineering systems. He received his doctorate in 2004 at ETH Zurich. Prior to joining the TUM as a Professor of Engineering Risk Analysis in 2008, he was a postdoctoralresearcher and adjunct professor at the University of California, Berkeley (2006 to 2008). Beyond his academic work, he is active as a consultant to various industries, including the offshore, maritime, energy, infrastructure and transportation sectors. Isabell M. Welpe conducts research in the area of strategy and organization from a behavioral science perspective, with a focus on performance management, strategic leadership, organizational design, behavior in organizations and the role of digital technology and social media for and in organizations. She has held the Chair of Strategy and Organization at the TUM since 2009.

decision-making under risk, extreme event risk, integrated risk modeling, probabilistic modeling for dependent risks, reliability analysis, risk reduction, statistical risk analysis, quality control, reliability, safety and risk, climate change

PBT - Wahrscheinlichkeitsrechnung und Statistik PBWL - Stochastik TNKS - Sicherheitssysteme und Brandmeldeanlagen UYZ - Mensch-Computer-Interaktion RN - Umwelt RNR - Naturkatastrophen

235 mm

15.5 cm