Download or read book Risk Uncertainty and Profit written by Frank H. Knight and published by Cosimo, Inc.. This book was released on 2006-11-01 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Uncertain Chances written by Maurice S. Lee and published by Oxford University Press. This book was released on 2013-06-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Probability and Bayesian Modeling written by Jim Albert and published by CRC Press. This book was released on 2019-12-06 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Science and Judgment in Risk Assessment written by National Research Council and published by National Academies Press. This book was released on 1994-01-01 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Uncertainty written by William Briggs and published by Springer. This book was released on 2016-07-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Understanding Uncertainty written by Dennis V. Lindley and published by John Wiley & Sons. This book was released on 2006-08-28 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Reckoning with Risk written by Gerd Gigerenzer and published by Penguin UK. This book was released on 2003-04-24 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book You Are What You Risk written by Michele Wucker and published by Simon and Schuster. This book was released on 2021-04-06 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Uncertain Risks Regulated written by Ellen Vos and published by Routledge. This book was released on 2009-01-26 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Risk Intelligence written by Dylan Evans and published by Simon and Schuster. This book was released on 2015-09-29 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: We must make judgments all the time when we can't be certain of the risks. Should we have that elective surgery? Trust the advice of our financial adviser? Take that new job we've been offered? How worried should we be about terrorist attacks? In this lively and groundbreaking book, pioneering researcher Dylan Evans introduces a newly discovered kind of intelligence for assessing risks, demonstrating how vital this risk intelligence is in our lives and how we can all raise our RQs in order to make better decisions every day. Evans has spearheaded the study of risk intelligence, devising a simple test to measure a person's RQ which when posted online sparked a storm of interest and was taken by tens of thousands of people. His research has revealed that risk intelligence is quite different from IQ, and that the vast majority of us have quite poor risk intelligence. However, he did find some people who have very high RQs. So what makes the difference? Introducing a wealth of fascinating research findings, Evans identifies a key set of common errors in our thinking that most of us fall victim to and that undermine our risk intelligence, such as "ambiguity aversion," overconfidence in our knowledge, the fallacy of mind reading, and our attraction to worst-case scenarios. We are also regularly led astray by the ways in which information is provided to us. Citing a wide range of real-life examples--from the brilliant risk assessment skills of horse race handicappers to the tragically flawed evaluations of risk that caused the financial crisis--Evans illustrates that sometimes our most trusted advisors, including the experts and analysts at the top of their disciplines, don't always give us the best advice when it comes to risk evaluation. Presenting his revolutionary test that allows readers to evaluate their own RQs, Evans introduces a number of simple techniques we can use to build our risk assessment powers and reports on the striking results he's seen in training people to develop their RQs. Both highly engaging and truly mind-changing, Risk Intelligence will fascinate all of those who are interested in how we can improve our thinking in order to enhance our lives.

Download or read book Uncertainty Theory written by Baoding Liu and published by Springer. This book was released on 2007-09-14 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Uncertainty Advantage written by Gary S. Lynch and published by Archway Publishing. This book was released on 2017-01-12 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Flaw of Averages written by Sam L. Savage and published by John Wiley & Sons. This book was released on 2012-03-13 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: A must-read for anyone who makes business decisions that have a major financial impact. As the recent collapse on Wall Street shows, we are often ill-equipped to deal with uncertainty and risk. Yet every day we base our personal and business plans on uncertainties, whether they be next month’s sales, next year’s costs, or tomorrow’s stock price. In The Flaw of Averages, Sam Savageknown for his creative exposition of difficult subjects describes common avoidable mistakes in assessing risk in the face of uncertainty. Along the way, he shows why plans based on average assumptions are wrong, on average, in areas as diverse as healthcare, accounting, the War on Terror, and climate change. In his chapter on Sex and the Central Limit Theorem, he bravely grasps the literary third rail of gender differences. Instead of statistical jargon, Savage presents complex concepts in plain English. In addition, a tightly integrated web site contains numerous animations and simulations to further connect the seat of the reader’s intellect to the seat of their pants. The Flaw of Averages typically results when someone plugs a single number into a spreadsheet to represent an uncertain future quantity. Savage finishes the book with a discussion of the emerging field of Probability Management, which cures this problem though a new technology that can pack thousands of numbers into a single spreadsheet cell. Praise for The Flaw of Averages “Statistical uncertainties are pervasive in decisions we make every day in business, government, and our personal lives. Sam Savage’s lively and engaging book gives any interested reader the insight and the tools to deal effectively with those uncertainties. I highly recommend The Flaw of Averages.” —William J. Perry, Former U.S. Secretary of Defense “Enterprise analysis under uncertainty has long been an academic ideal. . . . In this profound and entertaining book, Professor Savage shows how to make all this practical, practicable, and comprehensible.” —Harry Markowitz, Nobel Laureate in Economics

Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

Download or read book Baby at Risk written by Ruth Levy Guyer and published by Capital Books. This book was released on 2006 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: A riveting and disturbing investigation of how high-tech pregnancies and medical interventions affect the lives of babies born at-risk, their families, and society at large

Download or read book Radical Uncertainty Decision Making Beyond the Numbers written by John Kay and published by W. W. Norton & Company. This book was released on 2020-03-17 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much economic advice is bogus quantification, warn two leading experts in this essential book, now with a preface on COVID-19. Invented numbers offer a false sense of security; we need instead robust narratives that give us the confidence to manage uncertainty. “An elegant and careful guide to thinking about personal and social economics, especially in a time of uncertainty. The timing is impeccable." — Christine Kenneally, New York Times Book Review Some uncertainties are resolvable. The insurance industry’s actuarial tables and the gambler’s roulette wheel both yield to the tools of probability theory. Most situations in life, however, involve a deeper kind of uncertainty, a radical uncertainty for which historical data provide no useful guidance to future outcomes. Radical uncertainty concerns events whose determinants are insufficiently understood for probabilities to be known or forecasting possible. Before President Barack Obama made the fateful decision to send in the Navy Seals, his advisers offered him wildly divergent estimates of the odds that Osama bin Laden would be in the Abbottabad compound. In 2000, no one—not least Steve Jobs—knew what a smartphone was; how could anyone have predicted how many would be sold in 2020? And financial advisers who confidently provide the information required in the standard retirement planning package—what will interest rates, the cost of living, and your state of health be in 2050?—demonstrate only that their advice is worthless. The limits of certainty demonstrate the power of human judgment over artificial intelligence. In most critical decisions there can be no forecasts or probability distributions on which we might sensibly rely. Instead of inventing numbers to fill the gaps in our knowledge, we should adopt business, political, and personal strategies that will be robust to alternative futures and resilient to unpredictable events. Within the security of such a robust and resilient reference narrative, uncertainty can be embraced, because it is the source of creativity, excitement, and profit.

Download or read book Whither Opportunity written by Greg J. Duncan and published by Russell Sage Foundation. This book was released on 2011-09-01 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the incomes of affluent and poor families have diverged over the past three decades, so too has the educational performance of their children. But how exactly do the forces of rising inequality affect the educational attainment and life chances of low-income children? In Whither Opportunity? a distinguished team of economists, sociologists, and experts in social and education policy examines the corrosive effects of unequal family resources, disadvantaged neighborhoods, insecure labor markets, and worsening school conditions on K-12 education. This groundbreaking book illuminates the ways rising inequality is undermining one of the most important goals of public education—the ability of schools to provide children with an equal chance at academic and economic success. The most ambitious study of educational inequality to date, Whither Opportunity? analyzes how social and economic conditions surrounding schools affect school performance and children’s educational achievement. The book shows that from earliest childhood, parental investments in children’s learning affect reading, math, and other attainments later in life. Contributor Meredith Phillip finds that between birth and age six, wealthier children will have spent as many as 1,300 more hours than poor children on child enrichment activities such as music lessons, travel, and summer camp. Greg Duncan, George Farkas, and Katherine Magnuson demonstrate that a child from a poor family is two to four times as likely as a child from an affluent family to have classmates with low skills and behavior problems – attributes which have a negative effect on the learning of their fellow students. As a result of such disparities, contributor Sean Reardon finds that the gap between rich and poor children’s math and reading achievement scores is now much larger than it was fifty years ago. And such income-based gaps persist across the school years, as Martha Bailey and Sue Dynarski document in their chapter on the growing income-based gap in college completion. Whither Opportunity? also reveals the profound impact of environmental factors on children’s educational progress and schools’ functioning. Elizabeth Ananat, Anna Gassman-Pines, and Christina Gibson-Davis show that local job losses such as those caused by plant closings can lower the test scores of students with low socioeconomic status, even students whose parents have not lost their jobs. They find that community-wide stress is most likely the culprit. Analyzing the math achievement of elementary school children, Stephen Raudenbush, Marshall Jean, and Emily Art find that students learn less if they attend schools with high student turnover during the school year – a common occurrence in poor schools. And David Kirk and Robert Sampson show that teacher commitment, parental involvement, and student achievement in schools in high-crime neighborhoods all tend to be low. For generations of Americans, public education provided the springboard to upward mobility. This pioneering volume casts a stark light on the ways rising inequality may now be compromising schools’ functioning, and with it the promise of equal opportunity in America.