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Books in Decision sciences

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Handbook of Media Economics, vol 1A

  • 1st Edition
  • Simon P. Anderson, Joel Waldfogel + 1 more
  • Simon P. Anderson, Joel Waldfogel and David Stromberg
  • December 3, 2015
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 2 7 2 1 - 6
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 2 7 2 4 - 7
Handbook of Media Economics provides valuable information on a unique field that has its own theories, evidence, and policies. Understanding the media is important for society, and while new technologies are altering the media, they are also affecting our understanding of their economics. The book spans the large scope of media economics, simultaneously offering in-depth analysis of particular topics, including the economics of why media are important, how media work (including financing sources, institutional settings, and regulation), what determines media content (including media bias), and the effects of new technologies. The book provides a powerful introduction for those interested in starting research in media economics.
Handbook of Media Economics, vol 1A

Optimization Tools for Logistics

  • 1st Edition
  • Jean-Michel Réveillac
  • Jean-Michel Réveillac
  • October 20, 2015
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 0 4 9 - 2
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 0 4 8 2 - 1
Optimization Tools for Logistics covers the theory and practice of the main principles of operational research and the ways it can be applied to logistics and decision support with regards to common software. The book is supported by worked problems and examples from industrial case studies, providing a comprehensive tool for readers from a variety of industries.
Optimization Tools for Logistics

Proteomics in Biomedicine and Pharmacology

  • 1st Edition
  • Volume 95
  • Rossen Donev
  • Rossen Donev
  • June 24, 2014
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 0 4 5 3 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 0 5 9 5 - 8
Volume 95 of Advances in Protein Chemistry and Structural Biology focuses on advances in proteomic techniques and their application in biomedicine and pharmacology. This volume describes in detail the applications of these techniques in studying a number of diseases and specific protein modifications and profiles, including phosphoproteomics, glycoproteomics, and more. Published continuously since 1944, the Advances in Protein Chemistry and Structural Biology series is the essential resource for protein chemists. Each volume brings forth new information about protocols and analysis of proteins. Each thematically organized volume is guest edited by leading experts in a broad range of protein-related topics.
Proteomics in Biomedicine and Pharmacology

Principles of Biomedical Informatics

  • 2nd Edition
  • Ira J. Kalet
  • Ira J. Kalet
  • September 26, 2013
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 4 1 6 0 1 9 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 1 4 6 2 - 0
This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as:• tree structured data, interval trees, and time-oriented medical data and their use• On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics• a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system• X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing• an introduction to Markov processes, and• an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies. It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields. As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation. The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling.
Principles of Biomedical Informatics

Handbook of Economic Forecasting

  • 1st Edition
  • Volume 2A
  • Graham Elliott + 1 more
  • Graham Elliott and Allan Timmermann
  • July 26, 2013
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 5 3 6 8 3 - 9
  • eBook
    9 7 8 - 0 - 4 4 4 - 5 3 6 8 4 - 6
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics.  In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects.  Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables.  Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies.  Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals.  The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues.
Handbook of Economic Forecasting

Handbook of Economic Forecasting

  • 1st Edition
  • Volume 2B
  • Graham Elliott + 1 more
  • Graham Elliott and Allan Timmermann
  • July 24, 2013
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 2 7 3 1 - 5
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 2 7 4 0 - 7
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues.
Handbook of Economic Forecasting

Markov Processes for Stochastic Modeling

  • 2nd Edition
  • Oliver Ibe
  • Oliver Ibe
  • May 22, 2013
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 2 8 2 9 5 - 6
  • Hardback
    9 7 8 - 0 - 1 2 - 4 0 7 7 9 5 - 9
  • eBook
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Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of  areas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory to provide a solid ground in the subject for the reader.
Markov Processes for Stochastic Modeling

Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

  • 1st Edition
  • Paola Lecca, Ian Laurenzi + 1 more
  • Paola Lecca, Ian Laurenzi and Ferenc Jordan
  • April 9, 2013
  • English
  • Hardback
    9 7 8 - 1 - 9 0 7 5 6 8 - 6 2 - 6
  • eBook
    9 7 8 - 1 - 9 0 8 8 1 8 - 2 1 - 8
Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks. Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field of modelling and simulation of biological processes at the molecular scale. Following an overview of deterministic chemical kinetics and the stochastic approach to biochemical kinetics, the book goes onto discuss the specifics of stochastic simulation algorithms, modelling in systems biology and the structure of biochemical models. Later chapters cover reaction-diffusion systems, and provide an analysis of the Kinfer and BlenX software systems. The final chapter looks at simulation of ecodynamics and food web dynamics.
Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)

  • 1st Edition
  • Calvin Wong, Z. X. Guo + 1 more
  • Calvin Wong, Z. X. Guo and S Y S Leung
  • January 24, 2013
  • English
  • Hardback
    9 7 8 - 0 - 8 5 7 0 9 - 7 7 9 - 8
  • eBook
    9 7 8 - 0 - 8 5 7 0 9 - 7 8 4 - 2
Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems.
Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)

Information Security Risk Assessment Toolkit

  • 1st Edition
  • Mark Talabis + 1 more
  • Mark Talabis and Jason Martin
  • October 17, 2012
  • English
  • Paperback
    9 7 8 - 1 - 5 9 7 4 9 - 7 3 5 - 0
  • eBook
    9 7 8 - 1 - 5 9 7 4 9 - 9 7 5 - 0
In order to protect company’s information assets such as sensitive customer records, health care records, etc., the security practitioner first needs to find out: what needs protected, what risks those assets are exposed to, what controls are in place to offset those risks, and where to focus attention for risk treatment. This is the true value and purpose of information security risk assessments. Effective risk assessments are meant to provide a defendable analysis of residual risk associated with your key assets so that risk treatment options can be explored. Information Security Risk Assessment Toolkit gives you the tools and skills to get a quick, reliable, and thorough risk assessment for key stakeholders.
Information Security Risk Assessment Toolkit