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Books in Decision sciences

Our Decision Sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice

BooksJournals

    • Handbook of Agricultural Economics

      • 1st Edition
      • Volume 3
      • May 8, 2007
      • Robert E. Evenson + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 4 5 1 8 7 3 6
      • eBook
        9 7 8 0 0 8 0 5 4 5 2 7 1
      Volume 3 of this series of the Handbooks in Economics follows on from the previous two volumes by focusing on the fundamental concepts of agricultural economics. The first part of the volume examines the developments in human resources and technology mastery. The second part follows on by considering the processes and impact of invention and innovation in this field. The effects of market forces are examined in the third part, and the volume concludes by analysing the economics of our changing natural resources, including the past effects of climate change.Overall this volume forms a comprehensive and accessible survey of the field of agricultural economics and is recommended reading for anyone with an interest, either academic or professional, in this area.

    • Handbooks in Operations Research and Management Science: Financial Engineering

      • 1st Edition
      • Volume 15
      • October 18, 2007
      • John R. Birge + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 4 5 1 7 8 1 4
      • eBook
        9 7 8 0 0 8 0 5 5 3 2 5 2
      The remarkable growth of financial markets over the past decades has been accompanied by an equally remarkable explosion in financial engineering, the interdisciplinary field focusing on applications of mathematical and statistical modeling and computational technology to problems in the financial services industry. The goals of financial engineering research are to develop empirically realistic stochastic models describing dynamics of financial risk variables, such as asset prices, foreign exchange rates, and interest rates, and to develop analytical, computational and statistical methods and tools to implement the models and employ them to design and evaluate financial products and processes to manage risk and to meet financial goals. This handbook describes the latest developments in this rapidly evolving field in the areas of modeling and pricing financial derivatives, building models of interest rates and credit risk, pricing and hedging in incomplete markets, risk management, and portfolio optimization. Leading researchers in each of these areas provide their perspective on the state of the art in terms of analysis, computation, and practical relevance. The authors describe essential results to date, fundamental methods and tools, as well as new views of the existing literature, opportunities, and challenges for future research.

    • Business Process Change

      • 2nd Edition
      • July 13, 2007
      • Paul Harmon + 1 more
      • English
      • eBook
        9 7 8 0 0 8 0 5 5 3 6 7 2
      Every company wants to improve the way it does business, to produce goods and services more efficiently, and to increase profits. Nonprofit organizations are also concerned with efficiency, productivity, and with achieving the goals they set for themselves. Every manager understands that achieving these goals is part of his or her job. BUSINESS PROCESS MANAGEMENT (or BPM) is what they call these activities that companies perform in order to improve and adapt processes that will help improve the way they do business. In this balanced treatment of the field of business process change, Paul Harmon offers concepts, methods, and cases for all aspects and phases of successful business process improvement. Updated and added for this edition are coverage of business process management systems, business rules, enterprise architectures and frameworks (SCOR), and more content on Six Sigma and Lean--in addition to new coverage of performance metrics.

    • Forecasting Volatility in the Financial Markets

      • 3rd Edition
      • February 19, 2007
      • Stephen Satchell + 1 more
      • English
      • Hardback
        9 7 8 0 7 5 0 6 6 9 4 2 9
      • Paperback
        9 7 8 0 0 8 0 9 7 6 2 1 1
      • eBook
        9 7 8 0 0 8 0 4 7 1 4 2 6
      Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey

    • Handbook of Econometrics

      • 1st Edition
      • Volume 6A
      • December 13, 2007
      • James J. Heckman + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 4 5 0 6 3 1 3
      • eBook
        9 7 8 0 0 8 0 5 5 6 2 8 4
      As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics. It is a tool for empirical discovery and policy analysis. The chapters in this volume embody this vision and either implement it directly or provide the tools for doing so. This vision is not shared by those who view econometrics as a branch of statistics rather than as a distinct field of knowledge that designs methods of inference from data based on models of human choice behavior and social interactions. All of the essays in this volume and its companion volume 6B offer guidance to the practitioner on how to apply the methods they discuss to interpret economic data. The authors of the chapters are all leading scholars in the fields they survey and extend.

    • Handbook of Econometrics

      • 1st Edition
      • Volume 6B
      • December 14, 2007
      • James J. Heckman + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 4 5 3 2 0 0 8
      • eBook
        9 7 8 0 0 8 0 5 5 6 5 5 0
      As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics. It is a tool for empirical discovery and policy analysis. The chapters in this volume embody this vision and either implement it directly or provide the tools for doing so. This vision is not shared by those who view econometrics as a branch of statistics rather than as a distinct field of knowledge that designs methods of inference from data based on models of human choice behavior and social interactions. All of the essays in this volume and its companion volume 6A offer guidance to the practitioner on how to apply the methods they discuss to interpret economic data. The authors of the chapters are all leading scholars in the fields they survey and extend.Handbook of Econometrics is now available online at ScienceDirect — full-text online from volume 1 onwards.

    • Forecasting Expected Returns in the Financial Markets

      • 1st Edition
      • July 16, 2007
      • Stephen Satchell
      • English
      • Paperback
        9 7 8 0 0 8 0 9 7 6 2 8 0
      • Hardback
        9 7 8 0 7 5 0 6 8 3 2 1 0
      • eBook
        9 7 8 0 0 8 0 5 5 0 6 7 1
      Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.

    • Managing Maintenance Resources

      • 1st Edition
      • May 10, 2006
      • Anthony Kelly
      • English
      • Paperback
        9 7 8 0 7 5 0 6 6 9 9 3 1
      • eBook
        9 7 8 0 0 8 0 4 6 2 6 1 5
      Managing Maintenance Resources shows how to reduce the complexity involved in engineering, or re-engineering, a maintenance organization. It recognises that this is a complex problem involving many inter-related decisions – such as whether or not resources should be centralized, contractor alliances be entered into or flexible working be adopted. This book provides a unique approach to modeling maintenance-producti... organizations. It enables the identification of problems and delivers guidelines to develop effective solutions. This is one of three stand-alone volumes designed to provide maintenance professionals in any sector with a better understanding of maintenance management, enabling the identification of problems and the delivery of effective solutions.

    • Info-Gap Decision Theory

      • 2nd Edition
      • August 7, 2006
      • Yakov Ben-Haim
      • English
      • Paperback
        9 7 8 1 4 9 3 3 0 0 9 8 3
      • Hardback
        9 7 8 0 1 2 3 7 3 5 5 2 2
      • eBook
        9 7 8 0 0 8 0 4 6 5 7 0 8
      Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. Info-Gap Decision Theory is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently "hybrid" models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais "paradoxes", are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models.

    • Handbook of Economic Forecasting

      • 1st Edition
      • Volume 1
      • May 30, 2006
      • G. Elliott + 2 more
      • English
      • Hardback
        9 7 8 0 4 4 4 5 1 3 9 5 3
      • eBook
        9 7 8 0 0 8 0 4 6 0 6 7 3
      Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting. The handbook covers developments in how forecasts are constructed based on multivariate time-series models, dynamic factor models, nonlinear models and combination methods. The handbook also includes chapters on forecast evaluation, including evaluation of point forecasts and probability forecasts and contains chapters on survey forecasts and volatility forecasts. Areas of applications of forecasts covered in the handbook include economics, finance and marketing.

Related subjects

Decision sciences and computers

Decision sciences applications

Operations research management science methods