Uncertain Chances
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| Author | : Frank H. Knight |
| Publisher | : Cosimo, Inc. |
| Total Pages | : 401 |
| Release | : 2006-11-01 |
| Genre | : Business & Economics |
| ISBN | : 1602060053 |
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 |
| Total Pages | : 250 |
| Release | : 2013-06-06 |
| Genre | : History |
| ISBN | : 0199985812 |
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.
| Author | : William Briggs |
| Publisher | : Springer |
| Total Pages | : 274 |
| Release | : 2016-07-15 |
| Genre | : Mathematics |
| ISBN | : 3319397567 |
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.
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 668 |
| Release | : 1994-01-01 |
| Genre | : Science |
| ISBN | : 030904894X |
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.
| Author | : Jim Albert |
| Publisher | : CRC Press |
| Total Pages | : 553 |
| Release | : 2019-12-06 |
| Genre | : Mathematics |
| ISBN | : 1351030132 |
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.
| Author | : Dennis V. Lindley |
| Publisher | : John Wiley & Sons |
| Total Pages | : 268 |
| Release | : 2006-08-28 |
| Genre | : Mathematics |
| ISBN | : 0470055472 |
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.
| Author | : Ellen Vos |
| Publisher | : Routledge |
| Total Pages | : 451 |
| Release | : 2009-01-26 |
| Genre | : Law |
| ISBN | : 113539153X |
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.
| Author | : Gary S. Lynch |
| Publisher | : Archway Publishing |
| Total Pages | : 176 |
| Release | : 2017-01-12 |
| Genre | : Business & Economics |
| ISBN | : 1480839388 |
Risk and uncertainty may sound scary, but todays best business leaders are navigating both to gain strategic advantage over competitorsand you can, too. This guide for business leaders examines risk and opportunity through the lens of some of the worlds most respected visionaries, including Howard Schultz, Andy Grove, Peter Huntsman, John Krafcik, Peter Leibinger, Doug Hepper, and many more. These visionaries looked beyond financial performance to see opportunitiesand they did so by understanding uncertainty. Then, they decisively acted to create measurable results that coincided with the future they envisioned. Find out how they did it, and learn how to: identify, define, and convert uncertainty into value; become more opportunistic when facing uncertainty; develop the skill to spot where advantages are likely to emerge; and create an environment where managers and leaders complement each other. Filled with case studies on companies such as Hyundai, Starbucks, Roche, and Intel, this guide delivers proven ways to create value and leverage uncertainty. It is the culmination of a decade of research and interaction with dozens of companies and growth leaders who prove that pursuing a market driven strategy to navigating uncertainty will gain measurable market advantage.
| Author | : Gerd Gigerenzer |
| Publisher | : Penguin UK |
| Total Pages | : 239 |
| Release | : 2003-04-24 |
| Genre | : Education |
| ISBN | : 0140297863 |
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.
| Author | : Michele Wucker |
| Publisher | : Simon and Schuster |
| Total Pages | : 244 |
| Release | : 2021-04-06 |
| Genre | : Business & Economics |
| ISBN | : 1643136798 |
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.
