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The Fascination of Statistics by Richard J. Brook Pdf
This book demonstrates how numbers open up new ways of thinking about problems and addresses current issues for which statistics has practical applications. The articles are classified according to probability, condensing data, testing, estimation, experimental design, prediction, and modelling.
The Fascination of Probability, Statistics and their Applications by Mark Podolskij,Robert Stelzer,Steen Thorbjørnsen,Almut E. D. Veraart Pdf
Collecting together twenty-three self-contained articles, this volume presents the current research of a number of renowned scientists in both probability theory and statistics as well as their various applications in economics, finance, the physics of wind-blown sand, queueing systems, risk assessment, turbulence and other areas. The contributions are dedicated to and inspired by the research of Ole E. Barndorff-Nielsen who, since the early 1960s, has been and continues to be a very active and influential researcher working on a wide range of important problems. The topics covered include, but are not limited to, econometrics, exponential families, Lévy processes and infinitely divisible distributions, limit theory, mathematical finance, random matrices, risk assessment, statistical inference for stochastic processes, stochastic analysis and optimal control, time series, and turbulence. The book will be of interest to researchers and graduate students in probability, statistics and their applications.
The Numbers Game is the first-ever history of baseball statistics - the keeping of them, the study of them, the people who devised them, the cultural phenomenon of them, from 1845 until today. Most baseball fans, players and even team executives assume that the National Pastime's infatuation with statistics is simply a byproduct of the information age, a phenomenon that blossomed only after the arrival of Bill James and computers in the 1980s. They couldn't be more wrong. In this unprecedented new book, Alan Schwarz - whom bestselling Moneyball author Michael Lewis calls "one of today's best baseball journalists" - provides the first-ever history of baseball statistics, showing how baseball and its numbers have been inseparable ever since the pastime's birth in 1845. He tells the history of this obsession through the lives of the people who felt it most: Henry Chadwick, the 19th-century writer who invented the first box score and harped endlessly about which statistics mattered and which did not; Allan Roth, Branch Rickey's right-hand numbers man with the late-1940s Brooklyn Dodgers; Earnshaw Cook, a scientist and Manhattan Project veteran who retired to pursue inventing the perfect baseball statistic; John Dewan, a former Strat-O-Matic maven who built STATS Inc. into a multimillion-dollar powerhouse for statistics over the Internet; and dozens more. Almost every baseball fan for 150 years has been drawn to the game by its statistics, whether through newspaper box scores, the backs of Topps baseball cards, The Baseball Encyclopedia, or fantasy leagues. Today's most ardent stat scientists, known as "sabermetricians," spend hundreds of hours coming up with new ways to capture the game in numbers, and engage in holy wars over which statistics are best. Some of these men--and women --are even being hired by major league teams to bring an understanding of statistics to a sport that for so long shunned it. Taken together, Schwarz paints a history not just of baseball statistics, but of the soul of the sport itself. The Numbers Game will be an invaluable part of any fan's library and go down as one of the sport's classic books.
Revised and updated (first edition, 1972) textbook for an introductory undergraduate course for non-mathematics majors illustrates how statistics and society interact, as well as statistics' relationship to mathematics and computer science. Includes end-of-chapter problems and an appendix with exami
Misused Statistics by Herbert Spirer,Louise Spirer Pdf
"Revised and updated edition of a standard in the field. Alerts readers to the problems, inherent in statistical practice-illustrating the types of misused statistics with well-documented, real-world examples, nearly half new to this edition, drawn from a wide range of areas, including the media, public policy, polls and surveys, political election
This is a somewhat extended and modified translation of the third edition of the text, first published in 1969. The Swedish edition has been used for many years at the Royal Institute of Technology in Stockholm, and at the School of Engineering at Link6ping University. It is also used in elementary courses for students of mathematics and science. The book is not intended for students interested only in theory, nor is it suited for those seeking only statistical recipes. Indeed, it is designed to be intermediate between these extremes. I have given much thought to the question of dividing the space, in an appropriate way, between mathematical arguments and practical applications. Mathematical niceties have been left aside entirely, and many results are obtained by analogy. The students I have in mind should have three ingredients in their course: elementary probability theory with applications, statistical theory with applications, and something about the planning of practical investiga tions. When pouring these three ingredients into the soup, I have tried to draw upon my experience as a university teacher and on my earlier years as an industrial statistician. The programme may sound bold, and the reader should not expect too much from this book. Today, probability, statistics and the planning of investigations cover vast areas and, in 356 pages, only the most basic problems can be discussed. If the reader gains a good understanding of probabilistic and statistical reasoning, the main purpose of the book has been fulfilled.
There is growing recognition that statistics should be part of the core curriculum for the compulsory schooling of all children, leading to a now urgent need for teachers to be trained in both statistical content and appropriate teaching methods. This book lays the foundation for teacher's responses to these changes, exploring how best to teach those applied skills which are now seen to be a more relevant part of the content of statistical courses.
Sense and Nonsense of Statistical Inference by Charmont Wang Pdf
This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other sources, presenting examples of misused statistics to show that many scientists and statisticians are unaware of, or unwilling to challenge the chaotic state of statistical practices.;The book: provides examples of ubiquitous statistical tests taken from the biomedical and behavioural sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as instant formulas to draw causal relationships; treats constructive uses of statistics, such as a modern version of Fisher's puzzle, Bayesian analysis, Shewhart control chart, descriptive statistics, chi-square test, nonlinear modeling, spectral estimation and Markov processes in quality control.
Global Visions of Violence by Jason Bruner,David C. Kirkpatrick Pdf
In Global Visions of Violence, the editors and contributors argue that violence creates a lens, bridge, and method for interdisciplinary collaboration that examines Christianity worldwide in the twentieth and twenty-first centuries. By analyzing the myriad ways violence, persecution, and suffering impact Christians and the imagination of Christian identity globally, this interdisciplinary volume integrates the perspectives of ethicists, historians, anthropologists, and ethnographers to generate new conversations. Taken together, the chapters in this book challenge scholarship on Christian growth that has not accounted for violence while analyzing persecution narratives that can wield data toward partisan ends. This allows Global Visions of Violence to push urgent conversations forward, giving voice to projects that illuminate wide and often hidden landscapes that have been shaped by global visions of violence, and seeking solutions that end violence and turn toward the pursuit of justice, peace, and human rights among suffering Christians.
Genetics in the Madhouse by Theodore M. Porter Pdf
"In the early 1800s, a century before there was any concept of the gene, physicians in insane asylums began to record causes of madness in their admission books. Almost from the beginning, they pointed to heredity as the most important of these causes. As doctors and state officials steadily lost faith in the capacity of asylum care to stem the terrible increase of insanity, they began emphasizing the need to curb the reproduction of the insane. They became obsessed with identifying weak or tainted families and anticipating the outcomes of their marriages. Genetics in the Madhouse is the untold story of how the collection and sorting of hereditary data in mental hospitals, schools for 'feebleminded' children, and prisons gave rise to a new science of human heredity. In this compelling book, Theodore Porter draws on untapped archival evidence from across Europe and North America to bring to light the hidden history behind modern genetics. He looks at the institutional use of pedigree charts, censuses of mental illness, medical-social surveys, and other data techniques--innovative quantitative practices that were worked out in the madhouse long before the manipulation of DNA became possible in the lab. Porter argues that asylum doctors developed many of the ideologies and methods of what would come to be known as eugenics, and deepens our appreciation of the moral issues at stake in data work conducted on the border of subjectivity and science. A bold rethinking of asylum work, Genetics in the Madhouse shows how heredity was a human science as well as a medical and biological one"--Jacket.
How new techniques of quantification shaped the New Deal and American democracy. When the Great Depression struck, the US government lacked tools to assess the situation; there was no reliable way to gauge the unemployment rate, the number of unemployed, or how many families had abandoned their farms to become migrants. In America by the Numbers, Emmanuel Didier examines the development in the 1930s of one such tool: representative sampling. Didier describes and analyzes the work of New Deal agricultural economists and statisticians who traveled from farm to farm, in search of information that would be useful for planning by farmers and government agencies. Didier shows that their methods were not just simple enumeration; these new techniques of quantification shaped the New Deal and American democracy even as the New Deal shaped the evolution of statistical surveys. Didier explains how statisticians had to become detectives and anthropologists, searching for elements that would help them portray America as a whole. Representative surveys were one of the most effective instruments for their task. He examines pre-Depression survey techniques; the invention of the random sampling method and the development of the Master Sample; and the application of random sampling by employment experts to develop the “Trial Census of Unemployment.”
A historical overview of the census race question—and a bold proposal for eliminating it America is preoccupied with race statistics—perhaps more than any other nation. Do these statistics illuminate social reality and produce coherent social policy, or cloud that reality and confuse social policy? Does America still have a color line? Who is on which side? Does it have a different "race" line—the nativity line—separating the native born from the foreign born? You might expect to answer these and similar questions with the government's "statistical races." Not likely, observes Kenneth Prewitt, who shows why the way we count by race is flawed. Prewitt calls for radical change. The nation needs to move beyond a race classification whose origins are in discredited eighteenth-century race-is-biology science, a classification that once defined Japanese and Chinese as separate races, but now combines them as a statistical "Asian race." One that once tried to divide the "white race" into "good whites" and "bad whites," and that today cannot distinguish descendants of Africans brought in chains four hundred years ago from children of Ethiopian parents who eagerly immigrated twenty years ago. Contrary to common sense, the classification says there are only two ethnicities in America—Hispanics and non-Hispanics. But if the old classification is cast aside, is there something better? What Is Your Race? clearly lays out the steps that can take the nation from where it is to where it needs to be. It's not an overnight task—particularly the explosive step of dropping today's race question from the census—but Prewitt argues persuasively that radical change is technically and politically achievable, and morally necessary.
Author : Robert C. Elston,Jane M. Olson,Lyle Palmer Publisher : John Wiley & Sons Page : 860 pages File Size : 55,7 Mb Release : 2002-04-22 Category : Medical ISBN : 0471486310
Biostatistical Genetics and Genetic Epidemiology by Robert C. Elston,Jane M. Olson,Lyle Palmer Pdf
"Human Genetics and Genetic Epidemiology" ist der 3. Band aus der sehr erfolgreichen Reihe 'Wiley Biostatistics Reference Series', die auf Artikeln der "Encyclopedia of Biostatistics" basiert. Dieser Band gibt einen topaktuellen und umfassenden Überblick über ein Forschungsgebiet, das insbesondere im Zuge des Human-Genomprojekts eine regelrechte Explosion an Forschungsaktivitäten erlebt hat. Enthalten sind komplett aktualisierte Artikel aus der "Encyclopedia of Biostatistics" sowie über 25% neue Artikel. Mit einem komplexen System an Querverweisen, die das Auffinden der gewünschten Information erheblich erleichtern. Eine interessante Lektüre für Genetiker, Epidemiologen, Biostatistiker und Forscher in diesen Bereichen.
