- Table View
- List View
Applied Health Economics
by Andrew M. Jones Nigel Rice Teresa Bago D'Uva Silvia BaliaLarge-scale survey datasets, in particular complex survey designs such as panel data, provide a rich source of information for health economists. They offer the scope to control for individual heterogeneity and to model the dynamics of individual behaviour. However the measures of outcome used in health economics are often qualitative or categorical. These create special problems for estimating econometric models. The dramatic growth in computing power over recent years has been accompanied by the development of methods that help to solve these problems. This book provides a practical guide to the skills required to put these techniques into practice. This book illustrates practical applications of these methods using data on health from, among others, the British Health and Lifestyle Survey (HALS), the British Household Panel Survey (BHPS), the European Community Household Panel (ECHP) and the WHO Multi-Country Survey (WHO-MCS). Assuming a familiarity with the basic syntax and structure of Stata, this book presents and explains the statistical output using empirical case studies rather than general theory. Never before has a health economics text brought theory and practice together and this book will be of great benefit to applied economists, as well as advanced undergraduate and post graduate students in health economics and applied econometrics.
Applied Health Economics (Routledge Advanced Texts in Economics and Finance)
by Andrew M. Jones Nigel Rice Teresa Bago D'Uva Silvia BaliaThe first edition of Applied Health Economics did an expert job of showing how the availability of large scale data sets and the rapid advancement of advanced econometric techniques can help health economists and health professionals make sense of information better than ever before. This second edition has been revised and updated throughout and includes a new chapter on the description and modelling of individual health care costs, thus broadening the book’s readership to those working on risk adjustment and health technology appraisal. The text also fully reflects the very latest advances in the health economics field and the key journal literature. Large-scale survey datasets, in particular complex survey designs such as panel data, provide a rich source of information for health economists. They offer the scope to control for individual heterogeneity and to model the dynamics of individual behaviour. However, the measures of outcome used in health economics are often qualitative or categorical. These create special problems for estimating econometric models. The dramatic growth in computing power over recent years has been accompanied by the development of methods that help to solve these problems. The purpose of this book is to provide a practical guide to the skills required to put these techniques into practice. Practical applications of the methods are illustrated using data on health from the British Health and Lifestyle Survey (HALS), the British Household Panel Survey (BHPS), the European Community Household Panel (ECHP), the US Medical Expenditure Panel Survey (MEPS) and Survey of Health, Ageing and Retirement in Europe (SHARE). There is a strong emphasis on applied work, illustrating the use of relevant computer software with code provided for Stata. Familiarity with the basic syntax and structure of Stata is assumed. The Stata code and extracts from the statistical output are embedded directly in the main text and explained at regular intervals. The book is built around empirical case studies, rather than general theory, and the emphasis is on learning by example. It presents a detailed dissection of methods and results of some recent research papers written by the authors and their colleagues. Relevant methods are presented alongside the Stata code that can be used to implement them and the empirical results are discussed at each stage. This text brings together the theory and application of health economics and econometrics, and will be a valuable reference for applied economists and students of health economics and applied econometrics.
Applied Human Resource Management: Strategic Issues and Experiential Exercises
by Kenneth M. YorkApplied Human Resource Management: Strategic Issues and Experiential Exercises gives business students in-depth, hands-on experiential learning applications to help them develop the skills they will need as human resource professionals who deal with people in diverse settings and situations. Providing maximum teaching flexibility, each chapter presents ten different issues that organizations must resolve to manage their human resources effectively. These chapters also offer four distinct types of interactive learning experiences: Strategic Issues in HRM Exercises, Applications, Experiential Exercises, and Creative Exercises. Key Features Offers four Strategic Issues in HRM exercises in each chapter that can be used for class discussions, assigned as homework problems, used as topics for group presentations, or incorporated into tests as essay questions Includes two Applications per chapter, brief projects that require students to apply a human resource management concept to a realistic situation, which are ideal for use as homework assignments, instructor illustrations/demonstrations, or in-class projects Provides two Experiential Exercises in each chapter to provide students with hands-on learning experiences within a realistic context Includes two open-ended Creative Exercises per chapter that ask students or teams to develop unique solutions to realistic problems using what they have learned Provides a list of each chapter's exercises grouped according to The Human Resource Certification Institute's Body of Knowledge in Human Resources Management categories to help instructors plan the exercises they want to use according to the HRM Body of Knowledge Intended Audience This book is an ideal core or supplemental text for graduate-level courses in Human Resource Management, Advanced Human Resource Management, and Personnel Management in departments of business, management, public administration, education, and psychology.
Applied Informatics for Industry 4.0
by Nazmul Siddique M Shamim Kaiser Mohammad Shamsul Arefin Julie WallApplied Informatics for Industry 4.0 combines the technologies of computer science and information science to assist in the management and processing of data to provide different types of services. Due to the adaptation of 4.0 IR-related technologies, applied informatics is playing a vital role in different sectors such as healthcare, complex system design and privacy-related issues. This book focuses on cutting edge research from the fields of informatics and complex industrial systems, and will cover topics including health informatics, bioinformatics, brain informatics, genomics and proteomics, data and network security and more. The text will appeal to beginners and advanced researchers in the fields of computer science, information sciences, electrical and electronic engineering and robotics.
Applied Intelligence for Industry 4.0
by Nazmul Siddique M Shamim Kaiser Mohammad Shamsul Arefin Asm KayesWe are all aware that artificial intelligence (AI) has brought a change in our lives, driven by a new form of interaction between man and machine. We are in the era of the fourth Industrial Revolution (IR) where AI plays vital roles in human development by enabling extraordinary technological advances making fundamental changes to the way we live, work and relate to one another. It is an opportunity to help everyone, including leaders, policymakers and people from all income groups and nations, to harness converging technologies in order to create an inclusive, human-centered future. We need to prepare our graduates as well as researchers to conduct their research with 4.0 IR-related technologies. We need to develop policies and implement those policies to focus on the components of 4.0 IR for sustainable developments. Applied Intelligence for Industry 4.0 will cover cutting edge topics in the fields of AI and industry 4.0. The text will appeal to beginners and advanced researchers in computer science, information sciences, engineering and robotics. Features Discusses advance data mining, feature extraction and classification algorithms for disease detection, cyber security detection and prevention, soil quality assessment and other industrial applications Includes the parameter optimization and explanation of intelligent approaches for business applications Presents context-aware smart insights and energy efficient and smart computing for the next-generation of smart industry
Applied Intermediate Macroeconomics
by Kevin D. HooverThis textbook offers a complete course in applied macroeconomics at the intermediate level that emphasizes the application of economic theory to real-world data and policy. Topics covered include national and international income, financial accounts, business cycles, financial markets, economic growth, labor markets, aggregate supply and demand, inflation, and monetary and fiscal policy. The text is unique in developing a detailed toolkit of elementary statistics and graphical techniques for economic data. A strength is its detailed treatment of national and international financial markets and the institutions of monetary and fiscal policy, which makes it especially helpful in understanding recent economic crises. The Web site for the text is found at http: //www. appliedmacroeconomics. com
Applied International Economics
by W. Charles Sawyer Richard L. SprinkleApplied International Economics, 4th Edition offers a modern and accessible treatment of international economics, shifting the emphasis from pure theory to the application of theory by using some of the key tools of economic analysis. This new edition of the text formerly known as International Economics makes the real-life application of international economics clearer than ever before, and focuses on the basics that students will need in order to analyse information on the world economy throughout their future careers. The new edition has been refocused, revised and thoroughly updated. Key features include: A new chapter on the firm in international trade accompanies a greater focus on firms in the world economy, how trade influences income inequality and how businesses can apply principles of international economics.? New or expanded chapter subsections on topics including the intersection of international economics and international business; money, interest rates, and the exchange rate; and the dynamic gains from trade. Replacement and expansion of case studies to bring them fully up to date. Chapters on economic development in both the international trade and finance sections on the book to reflect the increasing importance of low- and middle-income countries in the world economy. A streamlined treatment of Purchasing Power Parity, leading into the concept of the real exchange rate.? Expanded treatment of the Eurozone and the Eurozone crisis. Written in a thorough and engaging style, the book covers topics at a level appropriate for students specializing in business or international relations, as well as for economics students. Along with a wealth of case studies and real-life examples, the book offers extensive pedagogy including a companion website, end of chapter summaries, explanations of key concepts and terms, problem sets and additional readings.
Applied International Economics
by W. Charles Sawyer Richard L. SprinkleApplied International Economics, 5th edition, offers a modern and accessible treatment of international economics, shifting the emphasis from pure theory to the application of theory by using the standard tools of economic analysis. This new and streamlined edition makes the real-world application of international economics even more clear than previous editions, and focuses on the basics that students will need in order to analyze information on the world economy throughout their future careers. The new edition has been refocused, revised, and thoroughly updated. Key features include: Expanded coverage of China’s role in the world economy. New material on how changes in trade flows can be decomposed into the extensive and intensive margins of trade. New material on the use of Section 301 of U.S. trade law and the U.S.–China trade dispute. Updated coverage of Brexit. A new focus on the sole use of the Mundell-Fleming model to analyze balance of payments issues. Improved linkages between the concepts of purchasing power parity and the real exchange rate. Written in a thorough and engaging style, the book covers topics at a level appropriate for students specializing in business or international relations, as well as economics students. Along with a wealth of case studies and real-life examples, the book offers extensive pedagogical tools that include a companion website, end-of-chapter summaries, and explanations of key concepts and terms. For instructors, PowerPoint presentations and an extensive test bank are available.
Applied Intuition: Powering Autonomy
by Matt Higgins Andy Wu Rocio WuApplied Intuition, a leader in autonomous vehicle simulation software, has just closed on a $175 million round of Series D financing that values the four-year-old firm at $3.6 billion. With the immediate future secure, CEO Qasar Younis must now chart a strategic course for Applied Intuition's growth over the next ten years.
Applied Investment Theory: How Markets and Investors Behave, and Why
by Les ColemanInstitutions now dominate trading in equities around the world. Mutual funds are the most prominent, and doubly important as custodians of retirement savings. Despite this, there is no comprehensive description of fund manager behaviour, much less a matching theory. This is troubling because one of the most economically significant puzzles in finance is why experienced, well-resourced fund managers cannot outperform the market. Applied Investment Theory: How Equity Markets Behave, and Why brings together academic research, empirical evidence and real market experience to provide new insights into equity markets and their behaviours. The book draws upon the author's rich industry experience and academic research, plus over 40 interviews with fund managers on three continents and across different markets. The result is an innovative model that explains the puzzle of poor performance by mutual funds in terms of structural features of markets, the managed investment industry, and the conduct of fund managers. This book provides a fully integrated depiction of what markets and investors do, and why - insights that will resonate with the needs of investors, wealth managers and industry regulators. It is fully documented, but free of jargon and arcane math, and provides a grounded theory that is relevant to anyone who wants to pierce the opacity of mutual fund operations. Applied Investment Theory sets out a new paradigm in investment that is at the forefront of what should be an industrial-scale development of new finance theory following two decades of almost back-to-back financial crises.
Applied Legal Pluralism: Processes, Driving Forces and Effects
by Sophie Thériault Ghislain Otis Jean LeclairThis book offers a comparative study of the management of legal pluralism. The authors describe and analyse the way state and non-state legal systems acknowledge legal pluralism – defined as the coexistence of a state and non-state legal systems in the same space in respect of the same subject matter for the same population - and determine its consequences for their own purposes. The book sheds light on the management processes deployed by legal systems in Africa, Canada, Central Europe and the South Pacific, the multitudinous factors circumscribing the action of systems and individuals with respect to legal pluralism, and the effects of management strategies and processes on systems as well as on individuals. The book offers fresh practical and analytical insight on applied legal pluralism, a fast-growing field of scholarship and professional practice. Drawing from a wealth of original empirical data collected in several countries by a multilingual and multidisciplinary team, it provides a thorough account of the intricate patterns of state and non-state practices with respect to legal pluralism. As the book’s non-prescriptive approach helps to uncover and evaluate several biases or assumptions on the part of policy makers, scholars and development agencies regarding the nature and the consequences of legal pluralism, it will appeal to a wide range of scholars and practitioners in law, development studies, political science and social sciences.
Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies (International Series in Operations Research & Management Science #337)
by Daniel P. McGibneyApplied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.
Applied Macroeconomics: A Practical Introduction
by Christian A. ConradThis textbook provides a comprehensive overview of macroeconomic relationships and explains the most important macroeconomic variables in an easy-to-understand manner. The reader is introduced to important macroeconomic variables such as inflation and aggregate demand in chapters that build on one another. They learn, among other things, how economic crises arise or the role and functioning of money, capital and goods markets. The aim is to provide the reader with economic knowledge that can be applied in business practice. The economics material has been deliberately selected so that business studies content is usefully supplemented. However, detailed explanations and both application-oriented and practice-related examples and exercises make it easy for non-economists to understand the complex economic topics. Well-founded knowledge presented in an immediately comprehensible way!
Applied Marketing Analytics Using Python
by Gokhan Yildirim Raoul V. KüblerIt is vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and Python, this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks. Supporting online resources include datasets and software codes and solutions as well as PowerPoint slides, a teaching guide and a testbank. This book is essential reading for advanced level marketing students and practitioners who want to become cutting-edge marketers. Dr Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business School, London. Dr Raoul V. Kübler is an Associate Professor of Marketing at ESSEC Business School, Paris.
Applied Marketing Analytics Using R
by Gokhan Yildirim Raoul V. KüblerMarketing has become increasingly data-driven in recent years as a result of new emerging technologies such as AI, granular data availability and ever-growing analytics tools. With this trend only set to continue, it’s vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and R (a free statistical package), this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks. Chapters include learning objectives, figures, tables and questions to help facilitate learning. Also included online with the datasets are software codes and solutions (R Markdowns, HTML files) to use with the book, as well as PowerPoint slides, a teaching guide and a testbank for instructors teaching a marketing analytics course. This book is essential reading for advanced level marketing students and marketing practitioners who want to become cutting-edge marketers. Dr. Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business School, London. Dr. Raoul V. Kübler is an Associate Professor of Marketing at ESSEC Business School, Paris.
Applied Marketing Analytics Using R
by Gokhan Yildirim Raoul V. KüblerMarketing has become increasingly data-driven in recent years as a result of new emerging technologies such as AI, granular data availability and ever-growing analytics tools. With this trend only set to continue, it’s vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and R (a free statistical package), this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks. Chapters include learning objectives, figures, tables and questions to help facilitate learning. Also included online with the datasets are software codes and solutions (R Markdowns, HTML files) to use with the book, as well as PowerPoint slides, a teaching guide and a testbank for instructors teaching a marketing analytics course. This book is essential reading for advanced level marketing students and marketing practitioners who want to become cutting-edge marketers. Dr. Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business School, London. Dr. Raoul V. Kübler is an Associate Professor of Marketing at ESSEC Business School, Paris.
Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R (Chapman & Hall/CRC Series in Operations Research)
by Vincent Knight Geraint PalmerApplied Mathematics with Open-source Software: Operational Research Problems with Python and R is aimed at a broad segment of readers who wish to learn how to use open-source software to solve problems in applied mathematics. The book has an innovative structure with 4 sections of two chapters covering a large range of applied mathematical techniques: probabilistic modelling, dynamical systems, emergent behaviour and optimisation. The pairs of chapters in each section demonstrate different families of solution approaches. Each chapter starts with a problem, gives an overview of the relevant theory, shows a solution approach in R and in Python, and finally gives wider context by including a number of published references. This structure will allow for maximum accessibility, with minimal prerequisites in mathematics or programming as well as giving the right opportunities for a reader wanting to delve deeper into a particular topic. Features An excellent resource for scholars of applied mathematics and operational research, and indeed any academics who want to learn how to use open-source software. Offers more general and accessible treatment of the subject than other texts, both in terms of programming language but also in terms of the subjects considered. The R and Python sections purposefully mirror each other so that a reader can read only the section that interests them. An accompanying open-source repository with source files and further examples is posted online at https://bit.ly/3kpoKSd.
Applied Measurement: Industrial Psychology in Human Resources Management
by Deborah L. Whetzel George R. WheatonAn updated version of Deborah Whetzel and George Wheaton's earlier volume, this text is a well-organized sourcebook for fundamental practices in industrial psychology and human resources management. Applied Measurement describes the process of job analysis and test development with practical examples and discusses various methods for measuring job performance. Its primary purpose is to provide practical, systematic guidance on how to develop the various kinds of measurement instruments frequently used in the fields of industrial psychology and human resources management to assess personnel. With easy to follow guidance written in straightforward language, Applied Measurement contains three new chapters focusing on training and experience measures, assessment centers, and methods for defending the content validity of tests; includes contributions from many prominent researchers in the field, all of whom have had a great deal of applied experience; begins each chapter with an overview describing the job analysis or measurement method; and uses one job, that of an electrician, as an example throughout the book so that readers can easily understand how to apply job analysis data for the purposes of test development and job performance measurement. This practical, concise book is recommended for students and entry-level practitioners in the fields of industrial psychology and human resources.
Applied Mergers and Acquisitions (Wiley Finance #807)
by Robert F. BrunerA comprehensive guide to the world of mergers and acquisitions Why do so many M&A transactions fail? And what drives the success of those deals that are consummated? Robert Bruner explains that M&A can be understood as a response by managers to forces of turbulence in their environment. Despite the material failure rates of mergers and acquisitions, those pulling the trigger on key strategic decisions can make them work if they spend great care and rigor in the development of their M&A deals. By addressing the key factors of M&A success and failure, Applied Mergers and Acquisitions can help readers do this. Written by one of the foremost thinkers and educators in the field, this invaluable resource teaches readers the art and science of M&A valuation, deal negotiation, and bargaining, and provides a framework for considering tradeoffs in an effort to optimize the value of any M&A deal.
Applied Mergers and Acquisitions Workbook (Wiley Finance #175)
by Robert F. BrunerThe Applied Mergers and Acquisitions Workbook provides a useful self-training study guide for readers of Applied Mergers and Acquisitions who want to review the drivers of M&A success and failure. Useful review questions as well as problems and answers are provided for both professionals and students. Readers will further their knowledge, build practical intuition, and learn the art and science of M&A by using this comprehensive self-study workbook in conjunction with the main text.
Applied Methods for Agriculture and Natural Resource Management: A Festschrift in Honor of Richard E. Howitt (Natural Resource Management and Policy #50)
by Siwa Msangi Duncan MacEwanThis book assesses recent developments in the analysis of agricultural policy and water resource management, and highlights the utility and theoretical rigor of quantitative methods for modeling agricultural production, market dynamics, and natural resource management. In diverse case studies of the intersection between agriculture, environmental quality and natural resource sustainability, the authors analyze economic behavior - both at aggregate as well as at individual agent-level - in order to highlight the practical implications for decision-markers dealing with environmental and agricultural policy. The volume also addresses the challenges of doing robust analysis with limited data, and discusses the appropriate empirical approaches that can be employed. The studies in this book were inspired by the work of Richard E. Howitt, Emeritus Professor of Agricultural Economics at the University of California at Davis, USA, whose career has focused on the application of robust empirical methods to address concrete policy problems.
Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and Tools
by Alex Karagrigoriou Yannis Dimotikalis Christina Parpoula Christos H SkiadasBIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
Applied Modeling Techniques and Data Analysis 2: Financial, Demographic, Stochastic and Statistical Models and Methods
by Alex Karagrigoriou Christos H. Skiadas Yannis Dimotikalis Christina ParpoulaBIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
Applied Multidimensional Scaling of Asymmetric Relationships (Behaviormetrics: Quantitative Approaches to Human Behavior #19)
by Akinori Okada Tadashi ImaizumiThis is the first book that focusses the attention on applying asymmetric multidimensional scaling (MDS) and describes how to apply it in a practical manner. The book provides the know-how for prominent methods of asymmetric MDS: analysis of asymmetric relationships and the efficient use of programs of asymmetric MDS based on a distance model. These features will facilitate the work of researchers and enlighten students in disciplines such as statistics, psychology, sociology, education, marketing science, medicine, education, and other fields. Support is provided for practitioners in these areas who are, for instance, developing new products or services, investigating dominance relationships among brands or products, researching the use of antibiotics against resistance bacteria, and developing items for tests. This informative book demonstrates the analyses of data from diverse areas to show how asymmetric relationships are prevalent in real-world relationships and helps readers grasp the meanings and implications of those relationships. The results of the analyses illustrate the importance of analyzing asymmetric relationships that cannot be perceived by analysis using traditional methods, which ignore asymmetry in the data.
Applied Multivariate Statistical Analysis
by Wolfgang Karl Härdle Léopold SimarThis textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis.For this new edition, the book has been updated and extensively revised and now includes an extended chapter on cluster analysis. All solutions to the exercises are supplemented by R and MATLAB or SAS computer code and can be downloaded from the Quantlet platform. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Härdle and Z. Hlávka: Multivariate Statistics - Exercises and Solutions.The Quantlet platform, quantlet.de, quantlet.com, quantlet.org, is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding data-driven document-based visualization allow readers to reproduce the tables, pictures and calculations presented in this Springer book.