Kategoria BISAC: Business & Economics >> Econometrics

This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. A central theme is that of (non-)robustness, i.e., the fact that the presence of heavy tails can either reinforce or reverse the implications of a number of models in these fields, depending on the degree of heavy-tailed ness. These results motivate the development and applications of robust inference approaches under heavy tails, heterogeneity and dependence in observations. Several recently developed robust inference approaches...

Dieses Lehrbuch fuhrt praxisorientiert in die Grundlagen, Techniken und Anwendungs-moglichkeiten der deskriptiven Statistik ein und deckt alle wichtigen Aspekte einer Lehrveranstaltung zum Thema ab. Es behandelt die Basismethoden der uni- und bivariaten Verfahren, die mit Hilfe computerbasierter Berechnungen auf betriebswirtschaftliche Beispiele angewendet werden. Studierende gewinnen die Kompetenz, deskriptive Verfahren effizient in den Computerprogrammen Excel, SPSS und STATA anzuwenden, selbststandig Ergebnisse zu berechnen und vor allem zu interpretieren. Zugunsten eines intuitiven...

"Mesmerizing & fascinating..." --The Seattle Post-Intelligencer

"The Freakonomics of big data." --Stein Kretsinger, founding executive of Advertising.com

Award-winning - Used by over 30 universities - Translated into 9 languages

An introduction for everyone. In this rich, fascinating -- surprisingly accessible -- introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book...

This book about mathematics and methodology for economics is the result of the lifelong experience of the authors. It is written for university students as well as for students of applied sciences. This self-contained book does not assume any previous knowledge of high school mathematics and helps understanding the basics of economic theory-building. Starting from set theory it thoroughly discusses linear and non-linear functions, differential equations, difference equations, and all necessary theoretical constructs for building sound economic models. The authors also present a solid...

State-space models as an important mathematical tool has been widely used in many different fields. This edited collection explores recent theoretical developments of the models and their applications in economics and finance. The book includes nonlinear andnon-Gaussian time series models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly-spaced (discrete or continuous) observations.The contributed chapters are divided into four parts. The first part is on Particle Filtering and Parameter Learning in...

This brief emphasizes the ways in which introductory economics textbooks incorrectly rely on assumptions about the free market, the rational agent model, market fundamentalism, and standard long-standing assumptions in economics, and in doing so disregard the effects of incomplete and asymmetric information on choice and on allocation, and maintain a general but flawed belief that competitive markets can always provide efficient solutions automatically. In other words, the standard economics principles textbook is anachronistic, they assume that tastes are exogenous, they overlook...

This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an introduction to the subject tailored to the mindset and tastes of Mathematics students, who are sometimes turned off by the informal nature of Statistics courses. This book can be used as the basis for an...