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Past, Present, and Future of Statistical Science was commissioned
in 2013 by the Committee of Presidents of Statistical Societies
(COPSS) to celebrate its 50th anniversary and the International
Year of Statistics. COPSS consists of five charter member
statistical societies in North America and is best known for
sponsoring prestigious awards in statistics, such as the COPSS
Presidents' award. Through the contributions of a distinguished
group of 50 statisticians who are past winners of at least one of
the five awards sponsored by COPSS, this volume showcases the
breadth and vibrancy of statistics, describes current challenges
and new opportunities, highlights the exciting future of
statistical science, and provides guidance to future generations of
statisticians. The book is not only about statistics and science
but also about people and their passion for discovery.
Distinguished authors present expository articles on a broad
spectrum of topics in statistical education, research, and
applications. Topics covered include reminiscences and personal
reflections on statistical careers, perspectives on the field and
profession, thoughts on the discipline and the future of
statistical science, and advice for young statisticians. Many of
the articles are accessible not only to professional statisticians
and graduate students but also to undergraduate students interested
in pursuing statistics as a career and to all those who use
statistics in solving real-world problems. A consistent theme of
all the articles is the passion for statistics enthusiastically
shared by the authors. Their success stories inspire, give a sense
of statistics as a discipline, and provide a taste of the
exhilaration of discovery, success, and professional
accomplishment.
This volume contains Raymond J. Carroll's research and commentary
on its impact by leading statisticians. Each of the seven main
parts focuses on a key research area: Measurement Error,
Transformation and Weighting, Epidemiology, Nonparametric and
Semiparametric Regression for Independent Data, Nonparametric and
Semiparametric Regression for Dependent Data, Robustness, and other
work. The seven subject areas reviewed in this book were chosen by
Ray himself, as were the articles representing each area. The
commentaries not only review Ray's work, but are also filled with
history and anecdotes. Raymond J. Carroll's impact on statistics
and numerous other fields of science is far-reaching. His vast
catalog of work spans from fundamental contributions to statistical
theory to innovative methodological development and new insights in
disciplinary science. From the outset of his career, rather than
taking the "safe" route of pursuing incremental advances, Ray has
focused on tackling the most important challenges. In doing so, it
is fair to say that he has defined a host of statistics areas,
including weighting and transformation in regression, measurement
error modeling, quantitative methods for nutritional epidemiology
and non- and semiparametric regression.
This volume contains Raymond J. Carroll's research and commentary
on its impact by leading statisticians. Each of the seven main
parts focuses on a key research area: Measurement Error,
Transformation and Weighting, Epidemiology, Nonparametric and
Semiparametric Regression for Independent Data, Nonparametric and
Semiparametric Regression for Dependent Data, Robustness, and other
work. The seven subject areas reviewed in this book were chosen by
Ray himself, as were the articles representing each area. The
commentaries not only review Ray's work, but are also filled with
history and anecdotes. Raymond J. Carroll's impact on statistics
and numerous other fields of science is far-reaching. His vast
catalog of work spans from fundamental contributions to statistical
theory to innovative methodological development and new insights in
disciplinary science. From the outset of his career, rather than
taking the "safe" route of pursuing incremental advances, Ray has
focused on tackling the most important challenges. In doing so, it
is fair to say that he has defined a host of statistics areas,
including weighting and transformation in regression, measurement
error modeling, quantitative methods for nutritional epidemiology
and non- and semiparametric regression.
Past, Present, and Future of Statistical Science was commissioned
in 2013 by the Committee of Presidents of Statistical Societies
(COPSS) to celebrate its 50th anniversary and the International
Year of Statistics. COPSS consists of five charter member
statistical societies in North America and is best known for
sponsoring prestigious awards in statistics, such as the COPSS
Presidents' award. Through the contributions of a distinguished
group of 50 statisticians who are past winners of at least one of
the five awards sponsored by COPSS, this volume showcases the
breadth and vibrancy of statistics, describes current challenges
and new opportunities, highlights the exciting future of
statistical science, and provides guidance to future generations of
statisticians. The book is not only about statistics and science
but also about people and their passion for discovery.
Distinguished authors present expository articles on a broad
spectrum of topics in statistical education, research, and
applications. Topics covered include reminiscences and personal
reflections on statistical careers, perspectives on the field and
profession, thoughts on the discipline and the future of
statistical science, and advice for young statisticians. Many of
the articles are accessible not only to professional statisticians
and graduate students but also to undergraduate students interested
in pursuing statistics as a career and to all those who use
statistics in solving real-world problems. A consistent theme of
all the articles is the passion for statistics enthusiastically
shared by the authors. Their success stories inspire, give a sense
of statistics as a discipline, and provide a taste of the
exhilaration of discovery, success, and professional
accomplishment.
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