In nahezu allen empirisch orientierten Wissenschaften nehmen statistische Methoden zur Auswertung und Interpretation von Daten einen unverzichtbaren Platz ein.
Das Übungsbuch ergänzt in erster Linie das von den beiden Autoren verfasste Lehrbuch „Statistik − Grundlagen und Methodik", kann jedoch auch unabhängig davon als Übungsressource genutzt werden.
In nahezu allen empirisch orientierten Wissenschaften nehmen statistische Methoden zur Auswertung und Interpretation von Daten einen unverzichtbaren Platz ein.
This book applies the multidisciplinary approaches of econometrics, statistics, finance and artificial intelligence for pricing and forecasting the carbon market in the context of managerial issues.
Artificial Intelligence (AI) has been increasingly shaping the organization and operation of global capital markets by backing the consequences of algorithmic trading.
This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice.
This book explores the potential for renewable energy development and the adoption of sustainable production processes in Latin America and the Caribbean.
This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems.
This book offers a fresh perspective on the early history of macroeconomics, by examining the macro-dynamic models developed from the late 1920s to the late 1940s, and their treatment of economic instability.
This monograph addresses the methodological and empirical issues relevant for the development of sustainable agriculture, with a particular focus on Eastern Europe.
Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s.
This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems.
This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections.
This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way.
This book offers a series of statistical tests to determine if the "e;crowd out"e; problem, known to hinder the effectiveness of Keynesian economic stimulus programs, can be overcome by monetary programs.
This book scientifically tests the assertion that accommodative monetary policy can eliminate the "e;crowd out"e; problem, allowing fiscal stimulus programs (such as tax cuts or increased government spending) to stimulate the economy as intended.
This Palgrave Pivot re-examines salary formation in Major League Baseball in light of real option theory to clarify the connection between salary and marginal revenue product for professional baseball players.
This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.
This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic relationships among a set of variables.
This book surveys the state-of-the-art in efficiency and productivity analysis, examining advances in the analytical foundations and empirical applications.
