Skip to main content
View Cart

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

  • Pricing Derivative Securities

    An Interactive, Dynamic Environment with Maple V and Matlab
    • 1st Edition
    • September 14, 2000
    • Eliezer Z. Prisman
    • English
    Pricing derivatives theory comes alive in this self-contained interactive experience in financial pricing. The no-arbitrage perspective in a one-period state-preference model drives the book, and the Maple® and Matlab® programs help readers visualize payoffs and respond to various constraints and conditions. With clear explanations and lavish illustrations, Pricing Derivative Securities: An Interactive, Dynamic Environment with Maple V and Matlab teaches the core theoretical concepts so often disguised behind difficult terms and institutional details.Readers can experiment with the electronic packages forever, using the book and its solutions manual as a tutorial that can help solve problems of increasing complexity.

  • Microscopic Simulation of Financial Markets

    From Investor Behavior to Market Phenomena
    • 1st Edition
    • June 23, 2000
    • Haim Levy + 2 more
    • English
    Microscopic Simulation (MS) uses a computer to represent and keep track of individual ("microscopic") elements in order to investigate complex systems which are analytically intractable. A methodology that was developed to solve physics problems, MS has been used to study the relation between microscopic behavior and macroscopic phenomena in systems ranging from those of atomic particles, to cars, animals, and even humans. In finance, MS can help explain, among other things, the effects of various elements of investor behavior on market dynamics and asset pricing. It is these issues in particular, and the value of an MS approach to finance in general, that are the subjects of this book. The authors not only put their work in perspective by surveying traditional economic analyses of investor behavior, but they also briefly examine the use of MS in fields other than finance. Most models in economics and finance assume that investors are rational. However, experimental studies reveal systematic deviations from rational behavior. How can we determine the effect of investors' deviations from rational behavior on asset prices and market dynamics? By using Microscopic Simulation, a methodology originally developed by physicists for the investigation of complex systems, the authors are able to relax classical assumptions about investor behavior and to model it as empirically and experimentally observed. This rounded and judicious introduction to the application of MS in finance and economics reveals that many of the empirically-observed "puzzles" in finance can be explained by investors' quasi-rationality. Researchers use the book because it models heterogeneous investors, a group that has proven difficult to model. Being able to predict how people will invest and setting asset prices accordingly is inherently appealing, and the combination of computing power and statistical mechanics in this book makes such modeling possible. Because many finance researchers have backgrounds in physics, the material here is accessible.

  • An Introduction to the Mathematics of Financial Derivatives

    • 2nd Edition
    • May 19, 2000
    • Salih N. Neftci
    • English
    An Introduction to the Mathematics of Financial Derivatives, Second Edition, introduces the mathematics underlying the pricing of derivatives. The increased interest in dynamic pricing models stems from their applicability to practical situations: with the freeing of exchange, interest rates, and capital controls, the market for derivative products has matured and pricing models have become more accurate. This updated edition has six new chapters and chapter-concluding exercises, plus one thoroughly expanded chapter. The text answers the need for a resource targeting professionals, Ph.D. students, and advanced MBA students who are specifically interested in financial derivatives. This edition is also designed to become the main text in first year masters and Ph.D. programs for certain courses, and will continue to be an important manual for market professionals and professionals with mathematical, technical, or physics backgrounds.

  • The Grouting Handbook

    A Step-by-Step Guide to Heavy Equipment Grouting
    • 1st Edition
    • May 3, 2000
    • Donald M. Harrison
    • English
    Based on twenty years of research and field experience, this book collects a vast amount of information into a handy reference for mechanical and civil engineers. It focuses on four basic elements of grouting: load carrying capability of the foundation soil; mass design, concrete mix and installation, and curing procedures of the foundation; anchor bolts; and the grout. From the ground up, this book takes you step by step through the grouting process. Clear, straightforward directions give you details on preparing the foundation and surface, and selecting the best material and method. Comprehensive yet concise, this is a convenient handbook for veteran and rookie engineers alike.

  • Analysing and Aiding Decision Processes

    • 1st Edition
    • Volume 14
    • April 1, 2000
    • P. Humphreys + 2 more
    • English
    This book contains an edited selection of papers presented at the Eighth Research Conference on Subjective Probability, Utility and Decision Making, held in Budapest. Together they span a wide range of new developments in studies of decision making, the practice of decision analysis and the development of decision-aiding technology.The volume is arranged in sections: Societal Decision Making; Organizational Decision Making; Aiding the Structuring of Small Scale Decision Problems, and Tracing Decision Processes.The emphasis is on decision processes and structures and their applications, rather than formal modelling in isolation, thus reflecting current developments in research and practice which follow from the understanding of the nature and operation of decision theoretical models gained during the 1970's.The fifth section, A Symposium on the Validity of Studies on Heuristics and Biases, is of a different nature. The papers take stock of the considerable volume of work investigation ``heuristics and biases'' in decision making over the past decade, and their implication for theory and practice.

  • Handbooks in Operations Research and Management Science: Transportation

    • 1st Edition
    • Volume 14
    • May 4, 1999
    • Cynthia Barnhart + 1 more
    • English
    This book contains eleven chapters describing some of the most recent methodological operations research developments in transportation. It is structured around the main transportation modes, and each chapter is written by a group of well-recognized researchers. Because of the major impact of operations research methods in the field of air transportation over the past forty years, it is befitting to open the book with a chapter on airline operations management. This book will prove useful to researchers, students, and practitioners in transportation and will stimulate further research in this rich and fascinating area.

  • Modelling Stock Market Volatility

    Bridging the Gap to Continuous Time
    • 1st Edition
    • November 4, 1996
    • Peter H. Rossi
    • English
    This essay collection focuses on the relationship between continuous time models and Autoregressive Conditionally Heteroskedastic (ARCH) models and applications. For the first time, Modelling Stock Market Volatility provides new insights about the links between these two models and new work on practical estimation methods for continuous time models. Featuring the pioneering scholarship of Daniel Nelson, the text presents research about the discrete time model, continuous time limits and optimal filtering of ARCH models, and the specification and estimation of continuous time processes. This work will lead to a rapid growth in their empirical application as they are increasingly subjected to routine specification testing.

  • Submodular Functions and Optimization

    • 1st Edition
    • Volume 47
    • January 24, 1991
    • S. Fujishige
    • English
    The importance of submodular functions has been widely recognized in recent years in combinatorial optimization. This is the first book devoted to the exposition of the theory of submodular functions from an elementary technical level to an advanced one. A unifying view of the theory is shown by means of base polyhedra and duality for submodular and supermodular systems. Among the subjects treated are: neoflows (submodular flows, independent flows, polymatroidal flows), submodular analysis (submodular programs, duality, Lagrangian functions, principal partitions), nonlinear optimization with submodular constraints (lexicographically optimal bases, fair resource allocation). Special emphasis is placed on the constructive aspects of the theory, which lead to practical, efficient algorithms.

  • Stochastic Models

    • 1st Edition
    • Volume 2
    • July 20, 1990
    • English
    One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This, the second volume in a series of handbooks, is devoted to models where chance events play a major role. The thirteen chapters survey topics in applied probability that have been particularly useful in operations research and management science. Each chapter was written by an expert, both in subject matter and in its exposition. The chapters fall into four groups. The first four cover the fundamentals of stochastic processes, and lay the foundation for the following chapters. The next three chapters are concerned with methods of getting numbers. This includes numerical solution of models, parameter estimation for models, and simulation of models. Chapters 8 and 9 describe the fundamentals of dynamic optimization. The last four chapters are concerned with the most important structured models in operations research and management science; queues, queueing networks, inventories, and reliability.

  • Fuzzy Sets in Psychology

    • 1st Edition
    • Volume 56
    • September 1, 1988
    • T. Zetenyi
    • English
    This volume provides an up-to-date picture of the current status of theoretical and empirical developments in the application of fuzzy sets in psychology. Fuzzy set theory could benefit researchers in at least two ways: first, as a metaphor or model for ordinary thought, and secondly, as an aid to data analysis and theory construction. One can find examples for both kinds in the volume, which will be of interest both to the advanced student in the field as well as to anyone possessing a basic scientific background.

Related subjects