Mathematische Methoden der Wirtschaftswissenschaften

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The book covers a wide range of topics, starting with data mining and its implications for understanding consumer behavior through shopping cart data. It delves into data analysis and classification, exploring methods such as multivariate data analysis, clustering, and genetic algorithms, alongside the effectiveness of various classification techniques. The statistical section discusses linear regression, semiparametric Bayesian function estimation, and graphical analysis of causal dependencies, emphasizing the importance of statistical measures in research. Market research and marketing methodologies are examined, particularly through conjoint analysis and factors influencing urban marketing success. The text also addresses capital and risk, analyzing the German stock market's characteristics, capital budgeting, and market risk management techniques. In operations research and corporate planning, topics include location problems and project network construction, highlighting practical applications in various industries. The economics section discusses production functions, exchange rate dynamics, and income multipliers, providing insights into economic modeling. Finally, the book addresses computer science topics, such as similarity in non-numerical domains and game-theoretic models in IT project interactions, alongside the teaching of quantitative methods in business education, showcasing a comprehensive approach to quant