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Author: Kevin Padraic Donnelly Publisher: University of Pittsburgh Press ISBN: 0822981637 Category : Science Languages : en Pages : 341
Book Description
Adolphe Quetelet was an influential astronomer and statistician whose controversial work inspired heated debate in European and American intellectual circles. In creating a science designed to explain the "average man," he helped contribute to the idea of normal, most enduringly in his creation of the Quetelet Index, which came to be known as the Body Mass Index. Kevin Donnelly presents the first scholarly biography of Quetelet, exploring his contribution to quantitative reasoning, his place in nineteenth-century intellectual history, and his profound influence on the modern idea of average.
Author: Kevin Padraic Donnelly Publisher: University of Pittsburgh Press ISBN: 0822981637 Category : Science Languages : en Pages : 341
Book Description
Adolphe Quetelet was an influential astronomer and statistician whose controversial work inspired heated debate in European and American intellectual circles. In creating a science designed to explain the "average man," he helped contribute to the idea of normal, most enduringly in his creation of the Quetelet Index, which came to be known as the Body Mass Index. Kevin Donnelly presents the first scholarly biography of Quetelet, exploring his contribution to quantitative reasoning, his place in nineteenth-century intellectual history, and his profound influence on the modern idea of average.
Author: Frank Hamilton Hankins Publisher: New York : Columbia University Press, Longmans, Green & Company, agents ISBN: Category : Consanguinity Languages : en Pages : 144
Author: C.C. Heyde Publisher: Springer Science & Business Media ISBN: 1461301793 Category : Mathematics Languages : en Pages : 505
Book Description
Written by leading statisticians and probabilists, this volume consists of 104 biographical articles on eminent contributors to statistical and probabilistic ideas born prior to the 20th Century. Among the statisticians covered are Fermat, Pascal, Huygens, Neumann, Bernoulli, Bayes, Laplace, Legendre, Gauss, Poisson, Pareto, Markov, Bachelier, Borel, and many more.
Author: Aubrey Clayton Publisher: Columbia University Press ISBN: 0231553358 Category : Mathematics Languages : en Pages : 641
Book Description
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.
Author: Murray Dick Publisher: MIT Press ISBN: 0262043823 Category : Computers Languages : en Pages : 243
Book Description
An exploration of infographics and data visualization as a cultural phenomenon, from eighteenth-century print culture to today's data journalism. Infographics and data visualization are ubiquitous in our everyday media diet, particularly in news—in print newspapers, on television news, and online. It has been argued that infographics are changing what it means to be literate in the twenty-first century—and even that they harmonize uniquely with human cognition. In this first serious exploration of the subject, Murray Dick traces the cultural evolution of the infographic, examining its use in news—and resistance to its use—from eighteenth-century print culture to today's data journalism. He identifies six historical phases of infographics in popular culture: the proto-infographic, the classical, the improving, the commercial, the ideological, and the professional. Dick describes the emergence of infographic forms within a wider history of journalism, culture, and communications, focusing his analysis on the UK. He considers their use in the partisan British journalism of late eighteenth and early nineteenth-century print media; their later deployment as a vehicle for reform and improvement; their mass-market debut in the twentieth century as a means of explanation (and sometimes propaganda); and their use for both ideological and professional purposes in the post–World War II marketized newspaper culture. Finally, he proposes best practices for news infographics and defends infographics and data visualization against a range of criticism. Dick offers not only a history of how the public has experienced and understood the infographic, but also an account of what data visualization can tell us about the past.
Author: Heather Lanier Publisher: Penguin ISBN: 0525559655 Category : Family & Relationships Languages : en Pages : 321
Book Description
“A remarkable book . . . I found myself thinking that all expectant and new parents should read it.” —Michelle Slater A New York Times Book Review Editors' Choice In Raising a Rare Girl, Lanier explores how to defy the tyranny of normal and embrace parenthood as a spiritual practice that breaks us open in the best of ways. Like many women of her generation, when Heather Lanier was expecting her first child she did everything by the book in the hope that she could create a SuperBaby, a supremely healthy human destined for a high-achieving future. But her daughter Fiona challenged all of Lanier’s preconceptions. Born with an ultra-rare syndrome known as Wolf-Hirschhorn, Fiona received a daunting prognosis: she would experience significant developmental delays and might not reach her second birthday. The diagnosis obliterated Lanier’s perfectionist tendencies, along with her most closely held beliefs about certainty, vulnerability, God, and love. With tiny bits of mozzarella cheese, a walker rolled to library story time, a talking iPad app, and a whole lot of pop and reggae, mother and daughter spend their days doing whatever it takes to give Fiona nourishment, movement, and language. Loving Fiona opens Lanier up to new understandings of what it means to be human, what it takes to be a mother, and above all, the aching joy and wonder that come from embracing the unique life of her rare girl.
Author: Prakash Gorroochurn Publisher: John Wiley & Sons ISBN: 1119127939 Category : Mathematics Languages : en Pages : 776
Book Description
"There is nothing like it on the market...no others are as encyclopedic...the writing is exemplary: simple, direct, and competent." —George W. Cobb, Professor Emeritus of Mathematics and Statistics, Mount Holyoke College Written in a direct and clear manner, Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times presents a comprehensive guide to the history of mathematical statistics and details the major results and crucial developments over a 200-year period. Presented in chronological order, the book features an account of the classical and modern works that are essential to understanding the applications of mathematical statistics. Divided into three parts, the book begins with extensive coverage of the probabilistic works of Laplace, who laid much of the foundations of later developments in statistical theory. Subsequently, the second part introduces 20th century statistical developments including work from Karl Pearson, Student, Fisher, and Neyman. Lastly, the author addresses post-Fisherian developments. Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times also features: A detailed account of Galton's discovery of regression and correlation as well as the subsequent development of Karl Pearson's X2 and Student's t A comprehensive treatment of the permeating influence of Fisher in all aspects of modern statistics beginning with his work in 1912 Significant coverage of Neyman–Pearson theory, which includes a discussion of the differences to Fisher’s works Discussions on key historical developments as well as the various disagreements, contrasting information, and alternative theories in the history of modern mathematical statistics in an effort to provide a thorough historical treatment Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times is an excellent reference for academicians with a mathematical background who are teaching or studying the history or philosophical controversies of mathematics and statistics. The book is also a useful guide for readers with a general interest in statistical inference.
Author: David Weisburd Publisher: Oxford University Press ISBN: 0199709106 Category : Social Science Languages : en Pages : 289
Book Description
The study of crime has focused primarily on why particular people commit crime or why specific communities have higher crime levels than others. In The Criminology of Place, David Weisburd, Elizabeth Groff, and Sue-Ming Yang present a new and different way of looking at the crime problem by examining why specific streets in a city have specific crime trends over time. Based on a 16-year longitudinal study of crime in Seattle, Washington, the book focuses our attention on small units of geographic analysis-micro communities, defined as street segments. Half of all Seattle crime each year occurs on just 5-6 percent of the city's street segments, yet these crime hot spots are not concentrated in a single neighborhood and street by street variability is significant. Weisburd, Groff, and Yang set out to explain why. The Criminology of Place shows how much essential information about crime is inevitably lost when we focus on larger units like neighborhoods or communities. Reorienting the study of crime by focusing on small units of geography, the authors identify a large group of possible crime risk and protective factors for street segments and an array of interventions that could be implemented to address them. The Criminology of Place is a groundbreaking book that radically alters traditional thinking about the crime problem and what we should do about it.
Author: Kevin Padraic Donnelly
Author: Kevin Padraic Donnelly
Author: Adolphe Quetelet
Author: Frank Hamilton Hankins
Author: Adolphe Quetelet
Author: C.C. Heyde
Author: Aubrey Clayton
Author: Murray Dick
Author: Heather Lanier
Author: Prakash Gorroochurn
Author: David Weisburd