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Books on Uncertainty Analysis
2005
Analyzing Uncertainty in Civil Engineering
by Wolfgang Fellin, Heimo Lessmann, Michael Oberguggenberger, Robert Vieider, Editors; March 2005; ISBN 3540222464
This volume comprehensively addresses the issue of uncertainty in civil engineering, from design to construction. Current engineering practice often leaves uncertainty issues aside, despite the fact that new scientific tools have been developed in the past decades that allow a rational description of uncertainties of all kinds, from model uncertainty to data uncertainty. It is the aim of this volume to take a critical look at current engineering risk concepts in order to raise awareness of uncertainty in numerical computations, shortcomings of a strictly probabilistic safety concept, geotechnical models of failure and their construction implications, actual construction, and legal responsibility. In addition, a number of the new procedures for modelling uncertainty are explained. The book is a result of a collaborate effort of mathematicians, engineers and construction managers who met regularly in a post-graduate seminar at the University of Innsbruck during the past years.
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Economic Policy Under Uncertainty: The Role of Truth and Accountability in Policy Advice
by Peter Mooslechner, Helene Schuberth, and Martin Schurz, Editors; February 2005; ISBN 1843764857
This book maintains that the question of truth and accountability has not received particular attention in the literature on economic methodology. It goes on to argue that pragmatic theories relate concepts of truth to the beliefs, thoughts and intentional actions of individuals, blurring the relationship between theory and practice. Focusing on the conditions that make it possible to consider economic policy advice a reliable basis for action and at the same time justifiable in a broad public discourse, the contributors address the difficulties faced by economic policy makers when basing policy decisions on economic advice. They avoid dualistic alternatives between truth-oriented academic theory and economic policy practice and remove the epistemic privilege for academic economists. The question of how economists can be made accountable for policies made as a result of their counsel is also examined. Exploring real-world difficulties encountered in giving and receiving economic policy advice, this book will be of great interest to economists who wish to reflect on the stance of their discipline, philosophers with an interest in economic issues and economic policy advisers considering the particularities of their subject.
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Trust, Risk, and Uncertainty
by Sean Watson and Anthony Moran, Editors; July 2005; ISBN 1403906998
This edited collection focuses on recently emerging debates around the themes of "risk", "trust", "uncertainty", and "ambivalence." Where much of the work on these themes in the social sciences has been theory based and driven, this book combines theoretical sophistication with close to the ground analysis and research in the fields of philosophy, education, social policy, government, health and social care, politics and cultural studies.
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2004
Economic Dynamics and General Equilibrium: Time and Uncertainty
by Anders Borglin and Mich Tvede; January 2004; ISBN 3540002650
This book focuses on the developments in the theory of incomplete markets and overlapping generations economies where income transfers over time or across states are restricted either by available assets or by the infeasibility of contracts with unborn generations. It bridges the gap between standard textbooks on microeconomics and more advanced expositions.
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Managing Uncertainties in Networks: A Network Approach to Problem Solving and Decision Making
by Johannes Franciscus, Maria Koppenjan, and Erik-Hans Klijn; July 2004; ISBN 0415369401
This text examines developments in the area of network strategy. Differentiating itself from other policy network approaches with a mainly research focus, this text has a managerial orientation.
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Managing Uncertainty in Organizational Communication
by Michael W. Kramer; March 2004; ISBN 0805849203
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Project Selection Under Uncertainty: Dynamically Allocating Resources to Maximize Value (International Series in Operations Research & Management Science, 69)
by Stylianos Kavadias and Christoph H. Loch; April 2004; ISBN 1402077033
This book is the result of a five-year research program on the selection of projects in New Product Development (NPD). Choosing the New Product Development portfolio is of critical importance in today's business environment. The NPD portfolio has considerable strategic effect on the "middle term" success of a business. This book takes a step in developing a theory that addresses the need for quantitative prioritization criteria within the broader strategic context of the R&D portfolios. Its foundation lies in mathematical theory of resource-constrained optimization with the goal to maximize quantitative returns. The book seeks to broaden the portfolio discussion in two ways. First, simplified models - appropriate for the data-poor NPD context - are developed, which attempt to illuminate the structure of the choice problem and robust qualitative rules of thumb, rather than detailed algorithmic decision support. Such robust rules can be applied in the R&D environment of poor data availability. Second, the annual portfolio review is not the only important choice in resource allocation. In addition, the book discusses how ideas might be pre-screened as they emerge, and how projects should be prioritized once they are funded and ongoing.
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Uncertainty Analysis for Forensic Science
by Patrick F. Dunn and Raymond M. Brach; March 2004; ISBN 1930056206
We live in an increasingly complex society in which we are constantly overwhelmed by numbers and units. However, units and measurements are not meant to confuse people but to help them. They were developed and designed to allow for effective communication on commercial and technical levels. Simply put, they are the structure behind all technical accomplishments.

The purpose of this text is to introduce the reader to these elements of Uncertainty Analysis so that they can be applied to forensics. This challenging book covers the fundamentals of Uncertainty Analysis--a tool used by engineers and scientists throughout the world to estimate uncertainty.

This instructive book has been geared solely towards the many legal professionals and forensic engineers who are unaware of Uncertainty Analysis for Forensic Science and its potential applications in the courtroom. Covering a wide range of topics that range from probability and statistical variables, mathematical relationships and equations, to sensitivity and design of experiments, this text has everything you could possibly want. It serves to enlighten, inform and familiarize one with these particular ideas by applying scientific and medical knowledge to legal matters.

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2003
Communicating Uncertainties in Weather and Climate Information: A Workshop Summary
National Academy Press; March 2003; ISBN 0309085403
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Independence, Additivity, Uncertainty
by Karl Vind and Birgit Grodal; January 2003; ISBN 3540416838
This book deals with the important economic problem of uncertainty. The first attempt was to simplify and unify some results usually taught in courses in mathematical economics. The economic interpretation of the results was representations of preferences as sums or integrals and the decomposition of preferences into utilities and probabilities. The book contains all the classical results, but the main justification of the book is that the approach taken in the earlier versions was also the proper approach in generalizing from preferences, which were total preorders to preferences, which were not total or transitive. The same mathematics gives representations which are additive. It also gives decompositions where concepts of utility, probability, and uncertainty appeared. These results are new and give a solution to how uncertainty can be formalized.
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Uncertain Science... Uncertain World
by Henry N. Pollack; March 2003; ISBN 0521781884
Scientific uncertainty puzzles many people. The confusion arises when scientists have more than one answer, and disagree among themselves. By acquainting readers with the ways that uncertainty arises in science, how scientists accommodate and make use of uncertainty, and how they reach conclusions in the face of uncertainty, this book enables them to confidently evaluate uncertainty from their own perspectives, in terms of their experiences.
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Uncertainty in Remote Sensing and GIS
by Giles M. Foody and Peter M. Atkinson (Editors); April 2003; ISBN 0470844086
This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses and interpretations made.
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2002
Managing Project Risk and Uncertainty: A Constructively Simple Approach to Decision Making
by Chris B. Chapman and Stephen Ward; October 2002; ISBN 0470847905
The authors, faculty members at the University of Southampton's School of Management, present 10 projects based on real cases and show how to take the guesswork out of managing risk and uncertainty by using a "constructively simple" approach to model building and the associated decision support processes. Read the publisher's synopsis for more information.
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2001
Risk, Uncertainty and Rational Action
by Carlo C. Jaeger, Ortwin Renn, Eugene A. Rosa, and Thomas Webler; 2001; ISBN 1853837628
Risk as we now know it is a wholly new phenomenon, the by-product of our ever more complex and powerful technologies. In business, policy making, and in everyday life, it demands a new way of looking at technological and environmental uncertainty. In this definitive volume, four of the world’s leading risk researchers present a fundamental critique of the prevailing approaches to understanding and managing risk – the ‘rational actor paradigm’. They show how risk studies must incorporate the competing interests, values, and rationalities of those involved and find a balance of trust and acceptable risk. Their work points to a comprehensive and significant new theory of risk and uncertainty and of the decision making process they require. The implications for social, political, and environmental theory and practice are enormous.
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2000
Choices, Values, and Frames
edited by Daniel Kahneman and Amos Tversky; December 2000; ISBN 0521621720 (hardcover) and 0521627494 (paperback)
This book presents an empirical and theoretical challenge to classical utility theory, offering prospect theory as an alternative framework; discusses extensions and applications to diverse economic phenomena and to studies of consumer behavior; elaborates on framing effects and other demonstrations that preferences are constructed in context; and develops new approaches to the standard view of choice-based utility. As with the classic 1982 volume, Judgment Under Uncertainty, this volume is comprised of papers published in diverse academic journals. The editors have written several new chapters and a preface to provide a context for the work.
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Probability Methods for Cost Uncertainty Analysis - A Systems Engineering Perspective
by Paul Garvey; Marcel Dekker, Inc., NY; January 2000; ISBN 0824789660
A textbook for a graduate or upper-level undergraduate course on applying probability methods to cost engineering and analysis problems. Garvey, a corporate economic and decision analyst, assumes students to have a solid background in differential and integral calculus, and hopes they have had at least introductions to probability theory and systems and cost engineering, though he develops the important concepts of those as he goes along. Among the issues associated with cost uncertainty analysis he brings up are the correlation between the cost of various system elements, presenting the analysis to decision makers, and using bivariate probability distributions to capture the joint interactions between cost and schedule. Focusing on probability theory, Garvey draws analytic techniques from the Monte Carlo simulation method.
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Risk Modeling for Determining Value and Decision Making
by Glenn R. Koller; May 2000; ISBN 1584881674
This book presents comprehensive examples of risk/uncertainty analyses from a broad range of applications and offers discussions on how to make decisions using each risk process or model and the insights each can provide.
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1999
Investment in Uncertainty (Applied Optimization, Vol. 21)
by Jaime Gil-Aluja; May 1999; ISBN 0792352963
The objective of the book is to discuss and explain the problems caused by the investment process in a world that is so full of change that it has become uncertain. For this reason the author presents a very wide range of theoretical and technical elements gathered from the new mathematics of uncertainty, both in its numerical and non-numerical aspects. In this regard an important role is played by the theories of fuzzy sub-sets, forgotten effects, affinities, expertons and many others that are being introduced with such success, in an attempt to arrive at a solution to the complex problems of management and the economy. Audience: Researchers, consultants and students interested in the application of mathematics to economics, management and investment. 
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1998
Experimentation and Uncertainty Analysis for Engineers, 2nd Ed.
by Hugh W. Coleman and W. Glenn Steele, Jr.; December 1998; ISBN 0471121460
The dramatic developments in the field of experimental uncertainty analysis over the last ten years have led to sweeping changes in
applications, resulting in a new international experimental uncertainty standard. Now, in the only manual available with direct applications
to the design and analysis of engineering experiments, respected authors Hugh Coleman and Glenn Steele have thoroughly updated their bestselling title to include the new methodologies being used by the United States and international standards committee groups. Along with several new examples, this latest edition includes new material on: the utilization of Uncertainty Magnification Factors (UMFs) and Uncertainty Percentage Contributions (UPCs) in the planning and early design phases of experiments; refined procedures for accounting for the effects of correlated bias errors; improved methods for accounting for the effects of asymmetric systematic uncertainties; the importance of (previously ignored) correlated random errors with an example illustrating how to account for them; uncertainties in comparative testing; uncertainties in the comparison of data and predictions (code validation); uncertainty analysis by direct Monte Carlo simulation; and a new method to determine regression uncertainties that properly accounts for both random and systematic uncertainties. With a step-by-step approach, engineering students as well as practicing professional engineers who analyze or design experiments will find Experimentation and Uncertainty Analysis for Engineers, Second Edition to be an invaluable reference tool.
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Stochastic Dominance: Investment Decision Making Under Uncertainty (Studies in Risk and Uncertainty, 12)
by Haim Levy and Myles Robinson; January 1998; ISBN 0792382609
This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this process: (a) the stochastic dominance approach; (b) the mean-variance approach; and (c) the non-expected utility approach, focusing on prospect theory and its modified version, cumulative prospect theory. These approaches are discussed and compared in this book. In addition, this volume examines cases in which stochastic dominance rules coincide with the mean-variance rule and cases in which contradictions between these two approaches may occur. It then discusses the relationship between stochastic dominance rules and prospect theory, and establishes a new investment decision rule which combines the two and which we call prospect stochastic dominance. Although all three approaches are discussed, most of the book is devoted to the stochastic dominance paradigm. This book is intended for Ph.D students, advanced MBA students specializing in finance, and advanced MA economics students interested in the economics of uncertainty. The book can be used as a supplementary book in post-graduate courses on portfolio selection and investment decision-making under uncertainty. 
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Uncertainty Analysis in Ecological Risk Assessment
by William H. Warren-Hicks (Editor) and Dwayne R.J. Moore; October 1998, ISBN 1880611244
This book presents a consensus from a SETAC Pellston Workshop on Uncertainty Analysis in Ecological Risk Assessment held in Pellston, Michigan. The workshop objectives were to improve the understanding of uncertainty analysis within the ecological risk assessment framework, to address the appropriate use of specific methods for estimating and expressing uncertainty in all facets of a risk analysis, and to disseminate methods and procedures to enhance communication of the results of uncertainty analysis to decision- makers and the public. These proceedings fulfill those objectives. 
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1997
Uncertainty Modeling and Analysis in Civil Engineering
by Bilal M. Ayyub (Editor); December 1997; ISBN 0849331080
Uncertainty Modeling and Analysis in Civil Engineering provides a thorough report on the immediate state of uncertainty modeling
and analytical methods for civil engineering systems, presenting a toolbox for solving problems in real-world situations. Topics include neural networks, genetic algorithms, numerical modeling, fuzzy sets and operations, reliability and risk analysis, systems control, and
uncertainty in probability estimates. This compendium is a considerable reference for civil engineers as well as for engineers in other disciplines, computer scientists, general scientists, and students. 
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1994
Risk and Uncertainty in Economics : Essays in Honour of James L. Ford
by David G. Dickinson (Editor), Michael J. Driscoll, Somnath Sen (Editor); December 1994; ISBN 1852787368
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1992
Uncertainty : A Guide to Dealing With Uncertainty in Quantitative Risk and Policy Analysis
by M. Granger Morgan, Max Henrion (Contributor); October 1992, ISBN 0521427444
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1989
Managerial Decisions Under Uncertainty: An Introduction to the Analysis of Decision Making
by Bruce F. Baird; April 1989; ISBN 0471858919
The book describes how to improve decision-making skills in realistic situations and do it in a reasonably nonmathematical fashion. Develops practical techniques for deciding upon the best strategies in a variety of situations. Provides methods for reducing complex problems to easily-drawn decision diagrams (trees), supported by real-world examples. Includes detailed cases that employ the methods described in the text. Each chapter contains illustrative examples and exercises. 
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1982
Judgment Under Uncertainty: Heuristics and Biases
edited by Daniel Kahneman, Paul Slovic, and Amos Tversky; April 1982; Cambridge University Press; ISBN 0521284147
The thirty-five chapters in this book--half of which are edited versions of classic articles and the other half are written for this book--describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but also in important social, medical, and political situations.
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