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Risk, Uncertainty and Profit by Frank H. Knight Pdf
A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.
Author : Maurice S. Lee Publisher : Oxford University Press Page : 250 pages File Size : 55,7 Mb Release : 2013-06-06 Category : History ISBN : 9780199985814
Maurice Lee's study illustrates how writers such as Poe, Melville, Douglass, Thoreau, Dickinson, and others participated in a broad intellectual and cultural shift in which Americans increasingly learned to live with the threatening and wonderful possibilities of chance.
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance." The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.
National Research Council,Division on Earth and Life Studies,Board on Environmental Studies and Toxicology,Commission on Life Sciences,Committee on Risk Assessment of Hazardous Air Pollutants
Author : National Research Council,Division on Earth and Life Studies,Board on Environmental Studies and Toxicology,Commission on Life Sciences,Committee on Risk Assessment of Hazardous Air Pollutants Publisher : National Academies Press Page : 668 pages File Size : 41,6 Mb Release : 1994-01-01 Category : Science ISBN : 9780309048941
Science and Judgment in Risk Assessment by National Research Council,Division on Earth and Life Studies,Board on Environmental Studies and Toxicology,Commission on Life Sciences,Committee on Risk Assessment of Hazardous Air Pollutants Pdf
The public depends on competent risk assessment from the federal government and the scientific community to grapple with the threat of pollution. When risk reports turn out to be overblownâ€"or when risks are overlookedâ€"public skepticism abounds. This comprehensive and readable book explores how the U.S. Environmental Protection Agency (EPA) can improve its risk assessment practices, with a focus on implementation of the 1990 Clean Air Act Amendments. With a wealth of detailed information, pertinent examples, and revealing analysis, the volume explores the "default option" and other basic concepts. It offers two views of EPA operations: The first examines how EPA currently assesses exposure to hazardous air pollutants, evaluates the toxicity of a substance, and characterizes the risk to the public. The second, more holistic, view explores how EPA can improve in several critical areas of risk assessment by focusing on cross-cutting themes and incorporating more scientific judgment. This comprehensive volume will be important to the EPA and other agencies, risk managers, environmental advocates, scientists, faculty, students, and concerned individuals.
Probability and Bayesian Modeling by Jim Albert,Jingchen Hu Pdf
Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
Uncertain Risks Regulated by Ellen Vos,Michelle Everson Pdf
The scientification of politics and the politicisation of science / Michelle Everson and Ellen Vos -- Opening pandora's box : contextualising the precautionary principle in the European Union / Elisabeth Fisher -- Uncertainties in regulating food safety in France / Julien Besanon and Olivier Borraz -- The origins of regulatory uncertainty in the UK food safety regime / Henry Rothstein -- The Dutch regulatory framework for food risk analysis based food law in the Netherlands / Bernd van der Meulen -- Food safety in Poland : standards, procedures and institutions / Aleksander Surdej and Karolina Zurek -- A default-logic model of factfinding for United States regulation of food safety / Vern Walker -- The French regulatory system on GMOs / Christine Noiville -- The UK regulatory system on GMOs : expanding the debate? / Maria Lee -- GMO regulation in the Netherlands : a story of hope, fear and the limits of poldering / Han Somsen -- The Polish regulatory system on GMOs : between EU influence and national nuances / Patrycja Dabrowska -- The regulation of environmental risks of GMOs in the United States / Michael Rodemeyer -- The EU regulatory system on food safety : between trust and safety / Ellen Vos -- The EU regulatory system for GMOs / Greg Shaffer and Mark Pollack -- European regulation of GMOs : thinking about judicial review in the WTO / Joanne Scott -- The Codex Alimentarius Commission and its food safety measures in the light of their new status / Marille matthee -- Three intimate tales of law and science : hope, despair and transcendence / Michelle Everson -- Science, knowledge and uncertainty in eu risk regulation / Marjolein van Asselt, Ellen Vos and Bram Rooijackers -- The role of scientific experts in risk regulation of foods / Harry Kuiper -- Inclusive risk governance through discourse, deliberation and participation / Andreas Klinke -- Sound science in the European and global market : Karl Polanyi in geneva / Christian Joerges.
The #1 international bestselling author of The Gray Rhino offers a bold new framework for understanding and re-shaping our relationship with risk and uncertainty to live more productive and successful lives. What drives a sixty-four-year-old woman to hurl herself over Niagara Falls in a barrel? Why do we often create bigger risks than the risks we try to avoid? Why are corporate boards newly worried about risky personal behavior by CEOs? Why are some nations quicker than others to recognize and manage risks like pandemics, technological change, and climate crisis? The answers define each person, organization, and society as distinctively as a fingerprint. Understanding the often-surprising origins of these risk fingerprints can open your eyes, inspire new habits, catalyze innovation and creativity, improve teamwork, and provide a beacon in a world that seems suddenly more uncertain than ever. How you see risk and what you do about it depend on your personality and experiences. How you make these cost-benefit calculations depend on your culture, your values, the people in the room, and even unexpected things like what you’ve eaten recently, the temperature, the music playing, or the fragrance in the air. Being alert to these often-unconscious influences will help you to seize opportunity and avoid danger. You Are What You Risk is a clarion call for an entirely new conversation about our relationship with risk and uncertainty. In this ground-breaking, accessible and eminently timely book, Michele Wucker examines why it’s so important to understand your risk fingerprint and how to make your risk relationship work better in business, life, and the world. Drawing on compelling risk stories around the world and weaving in economics, anthropology, sociology, and psychology research, Wucker bridges the divide between professional and lay risk conversations. She challenges stereotypes about risk attitudes, re-frames how gender and risk are related, and shines new light on generational differences. She shows how the new science of “risk personality” is re-shaping business and finance, how healthy risk ecosystems support economies and societies, and why embracing risk empathy can resolve conflicts. Wucker shares insights, practical tools, and proven strategies that will help you to understand what makes you who you are –and, in turn, to make better choices, both big and small.
Author : Richard Victor Ericson,Aaron Doyle Publisher : University of Toronto Press Page : 348 pages File Size : 55,7 Mb Release : 2004-01-01 Category : Social Science ISBN : 0802085628
Uncertain Business by Richard Victor Ericson,Aaron Doyle Pdf
We live in an age of increasing doubt about whether our institutions and technologies can provide security against risks, many of which they themselves have created. Uncertain Business is an unprecedented inquiry into insurance industry practices and what they tell us about risks and uncertainties in contemporary society. The core of the book is ethnographic studies in distinct fields of insurance: premature death, disability, earthquake, and terrorism. These studies reveal that uncertainty pervades different fields of insurance, the very industry that is charged with transforming uncertainty into manageable risk. Scientific data on risk are variously absent, inadequate, controversial, contradictory, and ignored. Insurers impose meaning on uncertainty through non-scientific forms of knowledge that are intuitive, emotional, aesthetic, moral, and speculative. Nevertheless, the nature of uncertainty and the response to it varies substantially across the fields studied, showing how contemporary society is characterized by competing risk logics. Insurers' perceptions and decisions about uncertainty - with potential for windfall profits as well as catastrophic losses - create crises in insurance availability and provoke new forms of inequality and exclusion. Hence, while the insurance industry is a central bulwark against uncertainty, insurers also play a key role in fostering it.
Are ordinary people able to reason with risk? Detailing case histories and examples, this text presents readers with tools for understanding statistics. In so doing, it encourages us to overcome our innumeracy and empowers us to take responsibility for our own choices.
Critical Pedagogy in Uncertain Times by S. Macrine Pdf
This book brings together the most important figures in the evolution of Critical Pedagogy to provide comprehensive analyses of issues related to the struggle against the forces of neoliberalism and the imperial-induced privatization, not just in education, but in all of social life through the radical democratizing forces of critical pedagogy.
This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The purpose is to equip the readers with an axiomatic approach to deal with uncertainty. For this new edition the entire text has been totally rewritten. The chapters on chance theory and uncertainty theory are completely new. Mathematicians, researchers, engineers, designers, and students will find this work a stimulating and useful reference.
Understanding Uncertainty by Dennis V. Lindley Pdf
A lively and informal introduction to the role of uncertainty and probability in people's lives from an everyday perspective From television game shows and gambling techniques to weather forecasting and the financial markets, virtually every aspect of modern life involves situations in which the outcomes are uncertain and of varying qualities. But as noted statistician Dennis Lindley writes in this distinctive text, "We want you to face up to uncertainty, not hide it away under false concepts, but to understand it and, moreover, to use the recent discoveries so that you can act in the face of uncertainty more sensibly than would have been possible without the skill." Accessibly written at an elementary level, this outstanding text examines uncertainty in various everyday situations and introduces readers to three rules--craftily laid out in the book--that prove uncertainty can be handled with as much confidence as ordinary logic. Combining a concept of utility with probability, the book insightfully demonstrates how uncertainty can be measured and used in everyday life, especially in decision-making and science. With a focus on understanding and using probability calculations, Understanding Uncertainty demystifies probability and: * Explains in straightforward detail the logic of uncertainty, its truths, and its falsehoods * Explores what has been learned in the twentieth century about uncertainty * Provides a logical, sensible method for acting in the face of uncertainty * Presents vignettes of great discoveries made in the twentieth century * Shows readers how to discern if another person--whether a lawyer, politician, scientist, or journalist--is talking sense, posing the right questions, or obtaining sound answers Requiring only a basic understanding of mathematical concepts and operations, Understanding Uncertainty is useful as a text for all students who have probability or statistics as part of their course, even at the most introductory level.
Anthony O'Hagan,Caitlin E. Buck,Alireza Daneshkhah,J. Richard Eiser,Paul H. Garthwaite,David J. Jenkinson,Jeremy E. Oakley,Tim Rakow
Author : Anthony O'Hagan,Caitlin E. Buck,Alireza Daneshkhah,J. Richard Eiser,Paul H. Garthwaite,David J. Jenkinson,Jeremy E. Oakley,Tim Rakow Publisher : John Wiley & Sons Page : 338 pages File Size : 50,8 Mb Release : 2006-08-30 Category : Mathematics ISBN : 9780470033302
Uncertain Judgements by Anthony O'Hagan,Caitlin E. Buck,Alireza Daneshkhah,J. Richard Eiser,Paul H. Garthwaite,David J. Jenkinson,Jeremy E. Oakley,Tim Rakow Pdf
Elicitation is the process of extracting expert knowledge about some unknown quantity or quantities, and formulating that information as a probability distribution. Elicitation is important in situations, such as modelling the safety of nuclear installations or assessing the risk of terrorist attacks, where expert knowledge is essentially the only source of good information. It also plays a major role in other contexts by augmenting scarce observational data, through the use of Bayesian statistical methods. However, elicitation is not a simple task, and practitioners need to be aware of a wide range of research findings in order to elicit expert judgements accurately and reliably. Uncertain Judgements introduces the area, before guiding the reader through the study of appropriate elicitation methods, illustrated by a variety of multi-disciplinary examples. This is achieved by: Presenting a methodological framework for the elicitation of expert knowledge incorporating findings from both statistical and psychological research. Detailing techniques for the elicitation of a wide range of standard distributions, appropriate to the most common types of quantities. Providing a comprehensive review of the available literature and pointing to the best practice methods and future research needs. Using examples from many disciplines, including statistics, psychology, engineering and health sciences. Including an extensive glossary of statistical and psychological terms. An ideal source and guide for statisticians and psychologists with interests in expert judgement or practical applications of Bayesian analysis, Uncertain Judgements will also benefit decision-makers, risk analysts, engineers and researchers in the medical and social sciences.
Praise for the first edition: Principles of Uncertainty is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. ... the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. ... A must-read for sure!—Christian Robert, CHANCE It's a lovely book, one that I hope will be widely adopted as a course textbook. —Michael Jordan, University of California, Berkeley, USA Like the prize-winning first edition, Principles of Uncertainty, Second Edition is an accessible, comprehensive text on the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems. Key Features: First edition won the 2011 DeGroot Prize Well-written introduction to theory of Bayesian statistics Each of the introductory chapters begins by introducing one new concept or assumption Uses "just-in-time mathematics"—the introduction to mathematical ideas just before they are applied
Probability and Statistics by Michael J. Evans,Jeffrey S. Rosenthal Pdf
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.
