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Selected Papers of Frederick Mosteller

Selected Papers of Frederick Mosteller
Author: Stephen E. Fienberg
Publisher: Springer Science & Business Media
Total Pages: 651
Release: 2007-02-01
Genre: Mathematics
ISBN: 0387449566

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One of the best known statisticians of the 20th century, Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume collects 40 of his most original and influential papers, capturing the variety and depth of his writings. It is hoped that sharing these writings with a new generation of researchers will inspire them to build upon his insights and efforts.


The Pleasures of Statistics

The Pleasures of Statistics
Author: Frederick Mosteller
Publisher: Springer Science & Business Media
Total Pages: 343
Release: 2010-03-10
Genre: Mathematics
ISBN: 0387779566

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From his unique perspective, renowned statistician and educator Frederick Mosteller describes many of the projects and events in his long career. From humble beginnings in western Pennsylvania to becoming the founding chairman of Harvard University’s Department of Statistics and beyond, he inspired many statisticians, scientists, and students with his unabashed pragmatism, creative thinking, and zest for both learning and teaching. This candid account offers fresh insights into the qualities that made Mosteller a superb teacher, a prolific scholar, a respected leader, and a valued advisor. A special feature of the book is its chapter-length insider accounts of work on the pre-election polls of 1948, statistical aspects of the Kinsey report on sexual behavior in the human male, mathematical learning theory, authorship of the disputed Federalist papers, safety of anesthetics, and a wide-ranging examination of the Coleman report on equality of educational opportunity. This volume is a companion to Selected Papers of Frederick Mosteller (Springer, 2006) and A Statistical Model: Frederick Mosteller’s Contributions to Statistics, Science, and Public Policy (Springer-Verlag, 1990). Frederick Mosteller (1916–2006) was Roger I. Lee Professor of Mathematical Statistics at Harvard University. His manuscript was unfinished at his death and has been updated.


Red Swan

Red Swan
Author: Sebastian Heilmann
Publisher: The Chinese University of Hong Kong Press
Total Pages: 260
Release: 2018-07-15
Genre: Political Science
ISBN: 9629968274

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The resilience of the Communist party-state, in combination with a rapidly expanding economy, represents a significant deviant case for the debate about models of development. This book focuses on the manner in which China's governmental system can be developed, formulated, implemented, adjusted, and revised. Policy-making is seen as an open ended process with an uncertain outcome, driven by conflicting interests, recurrent interactions, and continuous feedback, rather than determined by history, regime type, or institutions. Key to this are the capacity to deal with both existing and emerging challenges, correction mechanisms when conflicts arise, and adaptive capabilities in a changing economic or international context.


Beginning Statistics with Data Analysis

Beginning Statistics with Data Analysis
Author: Frederick Mosteller
Publisher: Courier Corporation
Total Pages: 612
Release: 2013-11-20
Genre: Mathematics
ISBN: 0486782255

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This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.


Inference and Disputed Authorship

Inference and Disputed Authorship
Author: Frederick Mosteller
Publisher: Center for the Study of Language and Information Publica Tion
Total Pages: 360
Release: 2007
Genre: Language Arts & Disciplines
ISBN:

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The 1964 publication of Inference and Disputed Authorship made the cover of Time magazine and the attention of academics and the public alike for its use of statistical methodology to solve one of American history's most notorious questions: the disputed authorship of the Federalist Papers. Back in print for a new generation of readers, this classic volume applies mathematics, including the once-controversial Bayesian analysis, into the heart of a literary and historical problem by studying frequently used words in the texts. The reissue of this landmark book will be welcomed by anyone interested in the juncture of history, political science, and authorship.


La teoria che non voleva morire

La teoria che non voleva morire
Author: Sharon Bertsch McGrayne
Publisher: FrancoAngeli
Total Pages: 430
Release: 2022-03-08T00:00:00+01:00
Genre: Mathematics
ISBN: 8835134366

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Selected Papers of Hirotugu Akaike

Selected Papers of Hirotugu Akaike
Author: Emanuel Parzen
Publisher: Springer Science & Business Media
Total Pages: 432
Release: 2012-12-06
Genre: Mathematics
ISBN: 146121694X

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The pioneering research of Hirotugu Akaike has an international reputation for profoundly affecting how data and time series are analyzed and modelled and is highly regarded by the statistical and technological communities of Japan and the world. His 1974 paper "A new look at the statistical model identification" (IEEE Trans Automatic Control, AC-19, 716-723) is one of the most frequently cited papers in the area of engineering, technology, and applied sciences (according to a 1981 Citation Classic of the Institute of Scientific Information). It introduced the broad scientific community to model identification using the methods of Akaike's criterion AIC. The AIC method is cited and applied in almost every area of physical and social science. The best way to learn about the seminal ideas of pioneering researchers is to read their original papers. This book reprints 29 papers of Akaike's more than 140 papers. This book of papers by Akaike is a tribute to his outstanding career and a service to provide students and researchers with access to Akaike's innovative and influential ideas and applications. To provide a commentary on the career of Akaike, the motivations of his ideas, and his many remarkable honors and prizes, this book reprints "A Conversation with Hirotugu Akaike" by David F. Findley and Emanuel Parzen, published in 1995 in the journal Statistical Science. This survey of Akaike's career provides each of us with a role model for how to have an impact on society by stimulating applied researchers to implement new statistical methods.


Applied Bayesian and Classical Inference

Applied Bayesian and Classical Inference
Author: F. Mosteller
Publisher: Springer Science & Business Media
Total Pages: 341
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461252563

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The new version has two additions. First, at the suggestion of Stephen Stigler I we have replaced the Table of Contents by what he calls an Analytic Table of Contents. Following the title of each section or subsection is a description of the content of the section. This material helps the reader in several ways, for example: by giving a synopsis of the book, by explaining where the various data tables are and what they deal with, by telling what theory is described where. We did several distinct full studies for the Federalist papers as well as many minor side studies. Some or all may offer information both to the applied and the theoretical reader. We therefore try to give in this Contents more than the few cryptic words in a section heading to ~peed readers in finding what they want. Seconq, we have prepared an extra chapter dealing with authorship work published from. about 1969 to 1983. Although a chapter cannot compre hensively Gover a field where many books now appear, it can mention most ofthe book-length works and the main thread of authorship' studies published in English. We founq biblical authorship studies so extensive and com plicated that we thought it worthwhile to indicate some papers that would bring out the controversies that are taking place. We hope we have given the flavor of developments over the 15 years mentioned. We have also corrected a few typographical errors.


Principles of Uncertainty

Principles of Uncertainty
Author: Joseph B. Kadane
Publisher: CRC Press
Total Pages: 525
Release: 2020-11-25
Genre: Mathematics
ISBN: 1351683365

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Praise for the first edition: Principles of Uncertainty is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. ... the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. ... A must-read for sure!—Christian Robert, CHANCE It's a lovely book, one that I hope will be widely adopted as a course textbook. —Michael Jordan, University of California, Berkeley, USA Like the prize-winning first edition, Principles of Uncertainty, Second Edition is an accessible, comprehensive text on the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems. Key Features: First edition won the 2011 DeGroot Prize Well-written introduction to theory of Bayesian statistics Each of the introductory chapters begins by introducing one new concept or assumption Uses "just-in-time mathematics"—the introduction to mathematical ideas just before they are applied


Problem Solving, Decision Making, and Professional Judgment

Problem Solving, Decision Making, and Professional Judgment
Author: Paul Brest
Publisher: Oxford University Press, USA
Total Pages: 696
Release: 2010-06-17
Genre: Education
ISBN: 0195366328

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In Problem Solving, Decision Making, and Professional Judgment: A Guide for Lawyers and Policymakers, Paul Brest and Linda Hamilton Krieger prepare students and professionals to be creative problem solvers, wise counselors, and effective decision makers. The authors provide readers with knowledge of decision theory, probability and statistics, social and cognitive psychology, and arm them against common sources of judgment error. The ultimate goal is to help readers "get it right" in their roles as professionals, citizens, and individuals.