Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.

Strength in Numbers: The Rising of Academic Statistics Departments in the U. S. PDF Author: Alan Agresti
Publisher: Springer Science & Business Media
ISBN: 1461436494
Category : Mathematics
Languages : en
Pages : 558

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Book Description
Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history.

Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.

Strength in Numbers: The Rising of Academic Statistics Departments in the U. S. PDF Author: Alan Agresti
Publisher: Springer Science & Business Media
ISBN: 1461436494
Category : Mathematics
Languages : en
Pages : 558

Get Book Here

Book Description
Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history.

Statistics in Action

Statistics in Action PDF Author: Jerald F. Lawless
Publisher: CRC Press
ISBN: 1482236249
Category : Mathematics
Languages : en
Pages : 382

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Book Description
Commissioned by the Statistical Society of Canada (SSC), Statistics in Action: A Canadian Outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian statisticians are making to science, techno

Epidemiology and the People's Health

Epidemiology and the People's Health PDF Author: Nancy Krieger
Publisher: Oxford University Press
ISBN: 0197695558
Category : Medical
Languages : en
Pages : 521

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Book Description
"Theory. Traced to its Greek roots, "theory" means to see inwards; to theorize is to use our mind's eye systematically, following articulated principles, to discern meaningful patterns among observations and ideas (Oxford English Dictionary [OED] 2022). The implication is that without theory, observation is blind and explanation is impossible"--

Axiomatics

Axiomatics PDF Author: Alma Steingart
Publisher: University of Chicago Press
ISBN: 0226824209
Category : Mathematics
Languages : en
Pages : 300

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Book Description
The first history of postwar mathematics, offering a new interpretation of the rise of abstraction and axiomatics in the twentieth century. Why did abstraction dominate American art, social science, and natural science in the mid-twentieth century? Why, despite opposition, did abstraction and theoretical knowledge flourish across a diverse set of intellectual pursuits during the Cold War? In recovering the centrality of abstraction across a range of modernist projects in the United States, Alma Steingart brings mathematics back into the conversation about midcentury American intellectual thought. The expansion of mathematics in the aftermath of World War II, she demonstrates, was characterized by two opposing tendencies: research in pure mathematics became increasingly abstract and rarified, while research in applied mathematics and mathematical applications grew in prominence as new fields like operations research and game theory brought mathematical knowledge to bear on more domains of knowledge. Both were predicated on the same abstractionist conception of mathematics and were rooted in the same approach: modern axiomatics. For American mathematicians, the humanities and the sciences did not compete with one another, but instead were two complementary sides of the same epistemological commitment. Steingart further reveals how this mathematical epistemology influenced the sciences and humanities, particularly the postwar social sciences. As mathematics changed, so did the meaning of mathematization. Axiomatics focuses on American mathematicians during a transformative time, following a series of controversies among mathematicians about the nature of mathematics as a field of study and as a body of knowledge. The ensuing debates offer a window onto the postwar development of mathematics band Cold War epistemology writ large. As Steingart’s history ably demonstrates, mathematics is the social activity in which styles of truth—here, abstraction—become synonymous with ways of knowing.

Advancing Women in Science

Advancing Women in Science PDF Author: Willie Pearson, Jr.
Publisher: Springer
ISBN: 3319086294
Category : Business & Economics
Languages : en
Pages : 353

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Book Description
Many countries have implemented policies to increase the number and quality of scientific researchers as a means to foster innovation and spur economic development and progress. To that end, grounded in a view of women as a rich, yet underutilized knowledge and labor resource, a great deal of recent attention has focused on encouraging women to pursue education and careers in science — even in countries with longstanding dominant patriarchal regimes. Yet, overall, science remains an area in which girls and women are persistently disadvantaged. This book addresses that situation. It bridges the gap between individual- and societal-level perspectives on women in science in a search for systematic solutions to the challenge of building an inclusive and productive scientific workforce capable of creating the innovation needed for economic growth and societal wellbeing. This book examines both the role of gender as an organizing principle of social life and the relative position of women scientists within national and international labor markets. Weaving together and engaging research on globalization, the social organization of science, and gendered societal relations as key social forces, this book addresses critical issues affecting women’s contributions and participation in science. Also, while considering women’s representation in science as a whole, examinations of women in the chemical sciences, computing, mathematics and statistics are offered as examples to provide insights into how differing disciplinary cultures, functional tasks and socio-historical conditions can affect the advancement of women in science relative to important variations in educational and occupational realities. Edited by three social scientists recognized for their expertise in science and technology policy, education, workforce participation, and stratification, this book includes contributions from an intellectually diverse group of international scholars and analysts and features compelling cases and initiatives from around the world, with implications for research, industry practice, education and policy development.

Promoting Statistical Practice and Collaboration in Developing Countries

Promoting Statistical Practice and Collaboration in Developing Countries PDF Author: O. Olawale Awe
Publisher: CRC Press
ISBN: 1000594416
Category : Mathematics
Languages : en
Pages : 741

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Book Description
"Rarely, but just often enough to rebuild hope, something happens to confound my pessimism about the recent unprecedented happenings in the world. This book is the most recent instance, and I think that all its readers will join me in rejoicing at the good it seeks to do. It is an example of the kind of international comity and collaboration that we could and should undertake to solve various societal problems. This book is a beautiful example of the power of the possible. [It] provides a blueprint for how the LISA 2020 model can be replicated in other fields. Civil engineers, or accountants, or nurses, or any other profession could follow this outline to share expertise and build capacity and promote progress in other countries. It also contains some tutorials for statistical literacy across several fields. The details would change, of course, but ideas are durable, and the generalizations seem pretty straightforward. This book shows every other profession where and how to stand in order to move the world. I urge every researcher to get a copy!" —David Banks from the Foreword Promoting Statistical Practice and Collaboration in Developing Countries provides new insights into the current issues and opportunities in international statistics education, statistical consulting, and collaboration, particularly in developing countries around the world. The book addresses the topics discussed in individual chapters from the perspectives of the historical context, the present state, and future directions of statistical training and practice, so that readers may fully understand the challenges and opportunities in the field of statistics and data science, especially in developing countries. Features • Reference point on statistical practice in developing countries for researchers, scholars, students, and practitioners • Comprehensive source of state-of-the-art knowledge on creating statistical collaboration laboratories within the field of data science and statistics • Collection of innovative statistical teaching and learning techniques in developing countries Each chapter consists of independent case study contributions on a particular theme that are developed with a common structure and format. The common goal across the chapters is to enhance the exchange of diverse educational and action-oriented information among our intended audiences, which include practitioners, researchers, students, and statistics educators in developing countries.

The University of Chicago

The University of Chicago PDF Author: John W. Boyer
Publisher: University of Chicago Press
ISBN: 0226835316
Category : Education
Languages : en
Pages : 785

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Book Description
An expanded narrative of the rich, unique history of the University of Chicago. One of the most influential institutions of higher learning in the world, the University of Chicago has a powerful and distinct identity, and its name is synonymous with intellectual rigor. With nearly 170,000 alumni living and working in more than one hundred and fifty countries, its impact is far-reaching and long-lasting. With The University of Chicago: A History, John W. Boyer, Dean of the College from 1992 to 2023, thoroughly engages with the history and the lived politics of the university. Boyer presents a history of a complex academic community, focusing on the nature of its academic culture and curricula, the experience of its students, its engagement with Chicago’s civic community, and the resources and conditions that have enabled the university to sustain itself through decades of change. He has mined the archives, exploring the school’s complex and sometimes controversial past to set myth and hearsay apart from fact. Boyer’s extensive research shows that the University of Chicago’s identity is profoundly interwoven with its history, and that history is unique in the annals of American higher education. After a little-known false start in the mid-nineteenth century, it achieved remarkable early successes, yet in the 1950s it faced a collapse of undergraduate enrollment, which proved fiscally debilitating for decades. Throughout, the university retained its fierce commitment to a distinctive, intense academic culture marked by intellectual merit and free debate, allowing it to rise to international acclaim. Today it maintains a strong obligation to serve the larger community through its connections to alumni, to the city of Chicago, and increasingly to its global community. Boyer’s tale is filled with larger-than-life characters—John D. Rockefeller, Robert Maynard Hutchins, and many other famous figures among them—and episodes that reveal the establishment and rise of today’s institution. Newly updated, this edition extends through the presidency of Robert Zimmer, whose long tenure was marked by significant developments and controversies over subjects as varied as free speech, medical inequity, and community relations.

Handbook of Markov Chain Monte Carlo

Handbook of Markov Chain Monte Carlo PDF Author: Steve Brooks
Publisher: CRC Press
ISBN: 1420079425
Category : Mathematics
Languages : en
Pages : 620

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Book Description
Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisherie

The Recording Machine

The Recording Machine PDF Author: Joshua Shannon
Publisher: Yale University Press
ISBN: 0300228449
Category : Art
Languages : en
Pages : 241

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Book Description
A revealing look at the irrevocable change in art during the 1960s and its relationship to the modern culture of fact This refreshing and erudite book offers a new understanding of the transformation of photography and the visual arts around 1968. Author Joshua Shannon reveals an oddly stringent realism in the period, tracing artists’ rejection of essential truths in favor of surface appearances. Dubbing this tendency factualism, Shannon illuminates not only the Cold War’s preoccupation with data but also the rise of a pervasive culture of fact. Focusing on the United States and West Germany, where photodocumentary traditions intersected with 1960s politics, Shannon investigates a broad variety of art, ranging from conceptual photography and earthworks to photorealist painting and abstraction. He looks closely at art by Bernd and Hilla Becher, Robert Bechtle, Vija Celmins, Douglas Huebler, Gerhard Richter, and others. These artists explored fact’s role as a modern paradigm for talking, thinking, and knowing. Their art, Shannon concludes, helps to explain both the ambivalent anti-humanism of today’s avant-garde art and our own culture of fact.

An Introduction to Categorical Data Analysis

An Introduction to Categorical Data Analysis PDF Author: Alan Agresti
Publisher: John Wiley & Sons
ISBN: 1119405270
Category : Mathematics
Languages : en
Pages : 393

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Book Description
A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.