Providing an introduction to mathematical analysis as it applies to economic theory and econometrics, this book bridges the gap that has separated the teaching of basic mathematics for economics and the increasingly advanced mathematics demanded in economics research today.
Studienarbeit aus dem Jahr 2022 im Fachbereich VWL - Statistik und Methoden, Note: 1,3, FOM Hochschule für Oekonomie & Management gemeinnützige GmbH, Stuttgart (Betriebswirtschaft & Wirtschaftspsychologie), Veranstaltung: Empirisches Projekt, Sprache: Deutsch, Abstract: In dieser Forschungsarbeit wird der Einfluss der Fanbindung auf das Fanverhalten und eine mögliche Übertragbarkeit der Konstrukte des Kunden-Commitments und der Kundenbindung auf Sportfans untersucht.
Studienarbeit aus dem Jahr 2021 im Fachbereich VWL - Statistik und Methoden, Note: 1,3, FOM Essen, Hochschule für Oekonomie & Management gemeinnützige GmbH, Hochschulleitung Essen früher Fachhochschule, Sprache: Deutsch, Abstract: Ziel dieser Arbeit ist, einen Vergleich zwischen qualitativen und quantitativen Forschungsmethoden zu ziehen.
Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintaining relevance.
Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintaining relevance.
Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in order to establish causal relationships from data.
Nonlinear models have become indispensable in modern finance and economics, yet their reliance on numerical root-finding methods introduces layers of complexity that demand rigorous attention.
Nonlinear models have become indispensable in modern finance and economics, yet their reliance on numerical root-finding methods introduces layers of complexity that demand rigorous attention.
The use of simulation techniques has increased in importance in recent history, and simulation activities are an important resource for advanced preparation for the organization and execution of events.
The use of simulation techniques has increased in importance in recent history, and simulation activities are an important resource for advanced preparation for the organization and execution of events.
Empirical Finance: Theory and Application offers a modern, data-driven introduction to the field of finance, tailored for undergraduate students and practitioners seeking to bridge theory with real-world evidence.
Empirical Finance: Theory and Application offers a modern, data-driven introduction to the field of finance, tailored for undergraduate students and practitioners seeking to bridge theory with real-world evidence.
During the recession in the years 2008-2009, the most severe for mature economies in the post-war period, housing markets were often mentioned as having a special responsibility.
The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics.
This volume is the result of the International IDNDR-Conference on Early Warning Systems for the Reduction of Natural Disasters, held at the Geo- ForschungsZentrum in Potsdam, Germany from 7-11 September 1998.
The importance of empirical economics and econometric methods has greatly in- creased during the last 20 years due to the availability of better data and the improved performance of computers.
That macroeconomic theory and macroeconometrics are, in the near future and more than ever, indispensable tools in the study of economics is no longer a very cont- versial statement.
Econometrics is the application of mathematics, statistical methods, and computer science, to economic data and is described as the branch of economics that aims to give empirical content to economic relations.
Econometrics is the application of mathematics, statistical methods, and computer science, to economic data and is described as the branch of economics that aims to give empirical content to economic relations.
A noted economist challenges the fundamental economic assumptions that cast economic growth as the objective and markets as the universally applicable means of achieving it.
A leading economist contends that the recent financial crisis was caused not by the failure of mainstream economics but by corrupted monetary data constructed without reference to economics.
Economists address key challenges facing the EU, including financial instability, welfare state reform, inadequate institutional framework, and global economic integration.
A noted economist challenges the fundamental economic assumptions that cast economic growth as the objective and markets as the universally applicable means of achieving it.
