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Fandl, M. (2018)

This textbook provides a comprehensive overview of monetary policy, banking supervision and financial stability in the euro area. The author uses his professional experience in …

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Rangazas, P., Mourmouras, A., Ivanya, M. (2018)

This textbook examines corruption through a macroeconomic lens, exploring the relationship between corruption, fiscal policy, and political economy. The book merges macroeconomic …

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Berger, P., Maurer, R., Celli, G. B. (2018)

This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience …

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Marasinghe, M. G., Koehler, K. (2017)

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in …

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Otani, T. (2017)

This textbook offers a comprehensive guide to the systematic structure of capitalism, while at the same time introducing readers to all three volumes of Marx’s Capital. Based on …

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Desagulier, G. (2017)

This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails …

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Böhm, V. (2017)

This textbook offers a unique approach to macroeconomic theory built on microeconomic foundations of monetary macroeconomics within a unified framework of an intertemporal general …

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Gentle, J. E. (2017)

This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered …

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Kolmar, M., Hoffmann, M. (2017)

This is the companion workbook for the textbook Principles of Microeconomics. Each chapter features a wide variety of exercises, ranging from basic multiple-choice questions to …

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Dhrymes, P. (2017)

This book provides a rigorous introduction to the principles of econometrics and gives students and practitioners the tools they need to effectively and accurately analyze real …

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van der Laan, M. J., Rose, S. (2017)

This textbook for Masters and PhD graduate students in biostatistics, statistics, data science, and epidemiology deals with the practical challenges that come with big, complex, …

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Endres, A., Radke, V. (2017)

This textbook provides a concise introduction to micro- and macroeconomics and demonstrates how economic tools and approaches can be used to analyze environmental issues. Written …

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Härdle, W., Okhrin, O., Okhrin, Y. (2017)

This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and …

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Wolfe, D. A., Schneider, G. (2017)

This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology …

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Shorack, G. R. (2017)

This 2nd edition textbook offers a rigorous introduction to measure theoretic probability with particular attention to topics of interest to mathematical statisticians—a textbook …

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Kolmar, M. (2017)

This text provides a comprehensive and unique introduction to modern microeconomics. It pursues an integrative approach by putting the main findings of economics into a broader …

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Cardenete, M. A., Guerra, A., Sancho, F. (2017)

This advanced textbook provides a straightforward but comprehensive introduction to applied general equilibrium modeling. General equilibrium is the backbone of modern economic …

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Beckerman, W. (2017)

This important textbook has been revised and updated to continue its focus on the link between ethics and economic policy analysis, whilst ensuring that perspectives addressing …

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Shumway, R. H., Stoffer, D. S. (2017)

The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with …

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Olive, D. (2017)

This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not …

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