Fr. 184.00

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

English · Paperback / Softback

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Description

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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.

List of contents

Statistics as an Academic Discipline.- Carnegie-Mellon.- Columbia University.- Cornell University.- Florida State University.- George Washington University.- Harvard University.- Harvard University.- Iowa State University.- Johns Hopkins University.- Kansas State University.- Michigan State University.- North Carolina State.- Oregon State University.- Penn State University.- Princeton University.- Purdue University.- Rutgers University.- Southern Methodist University.- Stanford University.- SUNY at Buffalo.- Texas A&M.- University of California.- University of Chicago.- University of Connecticut.- University of Florida.- University of Georgia.- University of Iowa.- University of Michigan.- University of Minnesota.- University of Missouri .- University of North Carolina.- University of North Carolina.- University of Pennsylvania.- University of Pittsburgh.- University of Washington.- University of Washington.- University of Wisconsin.- Virginia Tech University.- Yale University.- Referees.

About the author

ALAN AGRESTI, PhD, is Distinguished Professor in the Department of Statistics at the University of Florida. He has published extensively on categorical data methods and has presented courses on the topic for universities, companies, and professional organizations worldwide. A Fellow of the American Statistical Association, he is also the author of two other Wiley texts on categorical data analysis and coauthor of Statistical Methods for the Social Sciences.

Summary

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.

Additional text

From the book reviews:
“Alan Agresti and Xiao-Li Meng have gathered the stories of 39 statistics and biostatistics departments in the United States … . Anyone who is interested in the history and sociology of our discipline, or in the history of science more generally, should find much of interest in this book.” (Nicole Lazar, Technometrics, Vol. 55 (4), November, 2013)

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From the book reviews:
"Alan Agresti and Xiao-Li Meng have gathered the stories of 39 statistics and biostatistics departments in the United States ... . Anyone who is interested in the history and sociology of our discipline, or in the history of science more generally, should find much of interest in this book." (Nicole Lazar, Technometrics, Vol. 55 (4), November, 2013)

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