Statistics
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Introductory Statistics for Business and Economics (Theory, Exercises and Solutions)
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Lean Six Sigma in Banking Services (Operational and Strategy Applications for Theory and Practice)
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Loss Models (Further Topics)
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Mathematics for Econometrics
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Micro-Econometrics (Methods of Moments and Limited Dependent Variables)
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Modern Classification and Data Analysis (Methodology and Applications to Micro- and Macroeconomic Problems)
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Modern Survey Analysis (Using Python for Deeper Insights)
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New Frontiers in Textual Data Analysis
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Nonlife Actuarial Models (Theory, Methods and Evaluation)
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Numerical Methods in Finance with C++
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Official Statistics—A Plaything of Politics? (On the Interaction of Politics, Official Statistics, and Ethical Principles)
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Options and Derivatives Programming in C++ (Algorithms and Programming Techniques for the Financial Industry)
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