This Festschrift in honor ofChristian Seidl combines a group of prominent authors who are experts in areas like public economics, welfare economic, decision theory, and experimental economics in a unique volume.
This book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems.
This book highlights recent compelling research results and trends in various aspects of contemporary mathematics, emphasizing applicabilitions to real-world situations.
Learn how to gain insights from your data as well as machine learning and become a presentation pro who can create interactive dashboardsKey FeaturesEnhance your presentation skills by implementing engaging data storytelling and visualization techniquesLearn the basics of machine learning and easily apply machine learning models to your dataImprove productivity by automating your data processesBook DescriptionData Analytics Made Easy is an accessible beginner's guide for anyone working with data.
The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "e;On-line Control"e; with subchapters 1.
This book gathers selected peer-reviewed papers from the 14th World Congress on Engineering Asset Management (WCEAM), which was held in Singapore on 28-31 July 2019, as well as papers presented during the 1st WCEAMOnline event which focused on the ramifications of Covid-19 on infrastructure systems.
The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology.
The recent introduction of two European index options on the FTSE Eurotrack 100 and the Eurotop 100 is evidence of a demand from investors to hedge pan-European risk.
The Conference on "e;Utility: Theories, Measurements, and Applications"e; met at the Inn at Pasatiempo in Santa Cruz, California, from June II to 15, 1989.
This publication is in collaboration with the University of Buckingham and is the result of a combined research and review process carried out by the three Editors who belongs to the University of Ferrara, Italy, the University of Buckingham, UK and Swansea University, UK.
In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem representation has often been taken as given.
Web-Scale Discovery Services: Principles, Applications, Discovery Tools and Development Hypotheses summarizes and presents the state-of-the-art in WSDS.
Solve real-world business problems by learning how to create common industry key performance indicators and other calculations using DAX within Microsoft products such as Power BI, SQL Server, and Excel.
The author is one of the prominent researchers in the field of Data Envelopment Analysis (DEA), a powerful data analysis tool that can be used in performance evaluation and benchmarking.
This book examines the life and times of John Bolton, a Cambridge graduate who graduated as a Baker Scholar from Harvard Business School, and returned to Britain to quickly chair Solartron, one of the outstanding of the early British electronics companies in the 1950s.
This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems.
Postponement strategy is one of the major supply chain management (SCM) pr- tices that has a discernible impact on rms' competitive advantage and organi- tional performance.
The aim of this book is to bring students of economics and finance who have only an introductory background in mathematics up to a quite advanced level in the subject, thus preparing them for the core mathematical demands of econometrics, economic theory, quantitative finance and mathematical economics, which they are likely to encounter in their final-year courses and beyond.
This book presents the main principles of preference disaggregation analysis and covers theoretical advances in preference modelling, group decision making, classification methods, robustness analysis, process mining, and decision support systems.
Defense Transportation: Algorithms, Models and Applications for the 21st Century contains papers divided into three general sections according to the title of this text: algorithms, models, and applications.
Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) algorithms with their applications in subsurface analysis, including geology, geophysics, petrophysics, and reservoir engineering.
Medical Oncology Compendium discusses several important topics in oncology with the help of leading experts worldwide who incorporate not only knowledge on recent developments in the field, but contextualize them within diverse socioeconomic environments to guarantee the applicability of the content in challenging scenarios.
Dieses Buch führt mikroökonomisch fundiert in die Produktivitäts- und Effizienzanalyse ein und zeigt, wie man auch ohne apriori Kenntnis der Produktionsfunktion zu Aussagen über die produktive Effizienz kommen kann.
Questo libro contiene una selezione di argomenti di base di Teoria del Traffico impiegati in Ingegneria Stradale e di specifico interesse applicativo tecnico e scientifico.
Measuring Transport Equity provides a range of methods with the potential to shape transport decision-making processes, thus allowing for the adoption of more equitable transport solutions.
