The Cult Of Statistical Significance
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The Cult Of Statistical Significance
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Author : Steve Ziliak
language : en
Publisher: University of Michigan Press
Release Date : 2008-02-19
The Cult Of Statistical Significance written by Steve Ziliak and has been published by University of Michigan Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-19 with Business & Economics categories.
The Cult of Statistical Significance shows, field by field, how "statistical significance," a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ testing that doesn't "test" and estimating that doesn't "estimate". The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots.
The Cult Of Statistical Significance
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Author : Deirdre Nansen McCloskey
language : en
Publisher: University of Michigan Press
Release Date : 2008-02-19
The Cult Of Statistical Significance written by Deirdre Nansen McCloskey and has been published by University of Michigan Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-19 with Business & Economics categories.
“McCloskey and Ziliak have been pushing this very elementary, very correct, very important argument through several articles over several years and for reasons I cannot fathom it is still resisted. If it takes a book to get it across, I hope this book will do it. It ought to.” —Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics “With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.” —Kenneth Rothman, Professor of Epidemiology, Boston University School of Health The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).
The Cult Of Statistical Significance
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Author : Walter Krämer
language : en
Publisher:
Release Date : 2010
The Cult Of Statistical Significance written by Walter Krämer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
The Cult Of Statistical Significance
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Author :
language : en
Publisher:
Release Date : 2010
The Cult Of Statistical Significance written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
How To Be Human Though An Economist
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Author : Deirdre N. McCloskey
language : en
Publisher: University of Michigan Press
Release Date : 2000
How To Be Human Though An Economist written by Deirdre N. McCloskey and has been published by University of Michigan Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
A witty and thoughtful romp through the profession and practice of economics
Uncertainty
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Author : William Briggs
language : en
Publisher: Springer
Release Date : 2016-07-15
Uncertainty written by William Briggs and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-15 with Mathematics categories.
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.
Statistical Significance
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Author : Siu L Chow
language : en
Publisher: SAGE
Release Date : 1996
Statistical Significance written by Siu L Chow and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Social Science categories.
This comprehensive and accessible book provides an overview of the central and most fundamental methodological issue for empirical researchers - how should we interpret statistical significance? Beginning with a thorough introduction to null-hypothesis testing and statistical significance, the book then advances the arguments for and against the current interpretations and the use of significance testing in research. Siu L Chow presents a coherent challenge to contemporary criticisms of significance testing and offers a substantial and thought-provoking contribution to the debate on the proper role of statistical significance in empirical research.
Bettering Humanomics
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Author : Deirdre Nansen McCloskey
language : en
Publisher: University of Chicago Press
Release Date : 2023-06-05
Bettering Humanomics written by Deirdre Nansen McCloskey and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Business & Economics categories.
Deirdre Nansen McCloskey's latest meticulous work examines how economics can become a more "human" science. Economic historian Deirdre Nansen McCloskey has distinguished herself through her writing on the Great Enrichment and the betterment of the poor—not just materially but spiritually. In Bettering Humanomics she continues her intellectually playful yet rigorous analysis with a focus on humans rather than the institutions. Going against the grain of contemporary neo-institutional and behavioral economics which privilege observation over understanding, she asserts her vision of “humanomics,” which draws on the work of Bart Wilson, Vernon Smith, and most prominently, Adam Smith. She argues for an economics that uses a comprehensive understanding of human action beyond behaviorism. McCloskey clearly articulates her points of contention with believers in “imperfections,” from Samuelson to Stiglitz, claiming that they have neglected scientific analysis in their haste to diagnose the ills of the system. In an engaging and erudite manner, she reaffirms the global successes of market-tested betterment and calls for empirical investigation that advances from material incentives to an awareness of the human within historical and ethical frameworks. Bettering Humanomics offers a critique of contemporary economics and a proposal for an economics as a better human science.
Bernoulli S Fallacy
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Author : Aubrey Clayton
language : en
Publisher: Columbia University Press
Release Date : 2021-08-03
Bernoulli S Fallacy written by Aubrey Clayton and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-03 with Mathematics categories.
There is a logical flaw in the statistical methods used across experimental science. This fault is not a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly statistics-reliant society, this same deeply rooted error shapes decisions in medicine, law, and public policy with profound consequences. The foundation of the problem is a misunderstanding of probability and its role in making inferences from observations. Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the seventeenth-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it. He highlights how influential nineteenth- and twentieth-century figures developed a statistical methodology they claimed was purely objective in order to silence critics of their political agendas, including eugenics. Clayton provides a clear account of the mathematics and logic of probability, conveying complex concepts accessibly for readers interested in the statistical methods that frame our understanding of the world. He contends that we need to take a Bayesian approach—that is, to incorporate prior knowledge when reasoning with incomplete information—in order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoulli’s Fallacy explains why something has gone wrong with how we use data—and how to fix it.
Risk Profiling And Tolerance Insights For The Private Wealth Manager
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Author : Joachim Klement
language : en
Publisher: CFA Institute Research Foundation
Release Date : 2018-05-01
Risk Profiling And Tolerance Insights For The Private Wealth Manager written by Joachim Klement and has been published by CFA Institute Research Foundation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-01 with Business & Economics categories.
If risk aversion and willingness to take on risk are driven by emotions and we as humans are bad at correctly identifying them, the finance profession has a serious challenge at hand—how to reliably identify the individual risk profile of a retail investor or high-net-worth individual. In this series of CFA Institute Research Foundation briefs, we have asked academics and practitioners to summarize the current state of knowledge about risk profiling in different key areas.