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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

  • Neuroeconomics

    Decision Making and the Brain
    • 1st Edition
    • Paul W. Glimcher + 3 more
    • English
    Neuroeconomics is a new highly promising approach to understanding the neurobiology of decision making and how it affects cognitive social interactions between humans and societies/economies. This book is the first edited reference to examine the science behind neuroeconomics, including how it influences human behavior and societal decision making from a behavioral economics point of view. Presenting a truly interdisciplinary approach, Neuroeconomics presents research from neuroscience, psychology, and behavioral economics, and includes chapters by all the major figures in the field, including two Economics Nobel laureates.

  • Handbook of Econometrics

    • 1st Edition
    • Volume 6B
    • James J. Heckman + 1 more
    • English
    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.

  • Handbook of Econometrics

    • 1st Edition
    • Volume 6A
    • James J. Heckman + 1 more
    • English
    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.

  • Forecasting Expected Returns in the Financial Markets

    • 1st Edition
    • Stephen Satchell
    • English
    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.

  • Business Process Change

    A Guide for Business Managers and BPM and Six Sigma Professionals
    • 2nd Edition
    • Paul Harmon + 1 more
    • English
    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.

  • Handbook of Agricultural Economics

    Agricultural Development: Farmers, Farm Production and Farm Markets
    • 1st Edition
    • Volume 3
    • Robert E. Evenson + 1 more
    • English
    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.

  • Forecasting Volatility in the Financial Markets

    • 3rd Edition
    • Stephen Satchell + 1 more
    • English
    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

  • Operations Risk

    Managing a Key Component of Operational Risk
    • 1st Edition
    • David Loader
    • English
    Operations Risk--a form of Operational Risk, is becoming increasingly important as more and more sophisticated products and the use of those products occurs in the financial services industry. Outsourcing, including overseas outsourcing, is changing the structure of firms and particularly operations teams. Thus understanding the existing and the changing risk environment in operations functions and its impact on operational risk is centrally important today. The book focuses on areas such as technology risk, people risk, and settlement risk, examining the dangers that lurk within different organisations. Case studies throughout the book illustrate the way in which risk can become magnified and ultimately become a serious danger to the businesses concerned. The reader is challenged throughout the book to interpret given situations in Operations Risk so as to understand the impact of the risks and devise solutions through a series of exercises included in the relevant chapters. (answers are provided). This “self-test” approach will help reinforce understanding of the detailed material contained throughout the book.

  • Security Operations Management

    • 2nd Edition
    • Robert McCrie
    • English
    The second edition of Security Operations Management continues as the seminal reference on corporate security management operations. Revised and updated, topics covered in depth include: access control, selling the security budget upgrades to senior management, the evolution of security standards since 9/11, designing buildings to be safer from terrorism, improving relations between the public and private sectors, enhancing security measures during acute emergencies, and, finally, the increased security issues surrounding the threats of terrorism and cybercrime. An ideal reference for the professional, as well as a valuable teaching tool for the security student, the book includes discussion questions and a glossary of common security terms. Additionally, a brand new appendix contains contact information for academic, trade, and professional security organizations.

  • Handbooks in Operations Research and Management Science: Simulation

    • 1st Edition
    • Volume 13
    • Shane G. Henderson + 1 more
    • English
    This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. The chapters are tightly focused and written by experts in each area. For the purpose of this volume “simulation” refers to the analysis of stochastic processes through the generation of sample paths (realization) of the processes. Attention focuses on design and analysis issues and the goal of this volume is to survey the concepts, principles, tools and techniques that underlie the theory and practice of stochastic simulation design and analysis. Emphasis is placed on the ideas and methods that are likely to remain an intrinsic part of the foundation of the field for the foreseeable future. The chapters provide up-to-date references for both the simulation researcher and the advanced simulation user, but they do not constitute an introductory level ‘how to’ guide. Computer scientists, financial analysts, industrial engineers, management scientists, operations researchers and many other professionals use stochastic simulation to design, understand and improve communications, financial, manufacturing, logistics, and service systems. A theme that runs throughout these diverse applications is the need to evaluate system performance in the face of uncertainty, including uncertainty in user load, interest rates, demand for product, availability of goods, cost of transportation and equipment failures.

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