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Stochastic Models, Statistics and Their Applications
This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.
Computer Safety, Reliability and Security
This book constitutes the refereed proceedings of the 21st International Conference on Computer Safety, Reliability and Security, SAFECOMP 2002, held in Catania, Italy in September 2002. The 27 revised papers presented together with 3 keynote presentations were carefully reviewed and selected from 69 submissions. The papers are organized in topical sections on human-computer system dependability, human factors, security, dependability assessment, application of formal methods, reliability assessment, design for dependability, and safety assessment.
Risk, Ruin and Survival
Developing techniques for assessing various risks and calculating probabilities of ruin and survival are exciting topics for mathematically-inclined academics. For practicing actuaries and financial engineers, the resulting insights have provided enormous opportunities but also created serious challenges to overcome, thus facilitating closer cooperation between industries and academic institutions. In this book, several renown researchers with extensive interdisciplinary research experiences share their thoughts that, in one way or another, contribute to the betterment of practice and theory of decision making under uncertainty. Behavioral, cultural, mathematical, and statistical aspects of risk assessment and modelling have been explored, and have been often illustrated using real and simulated data. Topics range from financial and insurance risks to security-type risks, from one-dimensional to multi- and even infinite-dimensional risks. The articles in the book were written with a broad audience in mind and should provide enjoyable reading for those with university level degrees and/or those who have studied for accreditation by various actuarial and financial societies.
Motivation von Mitarbeitern eines Franchise-Unternehmens
Inhaltsangabe:Einleitung: Das stetige Wachstum des Franchisings ist über Jahrzehnte zu beobachten und wird wohl auch in Zukunft nicht an Bedeutung verlieren. Franchising ist ein vertikal kooperatives Vertriebssystem, beim dem der Franchise-Geber dem Franchise-Nehmer das Recht einräumt, sein ausgebildetes Marketing- und Vertriebskonzept gegen Zahlung einer Lizenzgebühr zu nutzen. Dem Franchise-Geber und dem Franchise-Nehmer sind jeweils bestimmte Aufgabenbereiche zugeordnet, die eine ergänzende Wirkung haben, so dass eine Win-Win-Situation für alle Beteiligten entstehen soll. Ein besonderes Augenmerk ist dabei auf die Corporate Identity (CI), der nach außen und innen wirksamen Unternehm...
Mathematik
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Modeling and Valuation of Energy Structures
Commodity markets present several challenges for quantitative modeling. These include high volatilities, small sample data sets, and physical, operational complexity. In addition, the set of traded products in commodity markets is more limited than in financial or equity markets, making value extraction through trading more difficult. These facts make it very easy for modeling efforts to run into serious problems, as many models are very sensitive to noise and hence can easily fail in practice. Modeling and Valuation of Energy Structures is a comprehensive guide to quantitative and statistical approaches that have been successfully employed in support of trading operations, reflecting the au...
