THE SEVEN PILLARS OF STATISTICAL WISDOM

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The Seven Pillars Of Statistical Wisdom

Author : Stephen M. Stigler
ISBN : 9780674970212
Genre : Social Science
File Size : 43.55 MB
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What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional statistician.
Category: Social Science

The Seven Pillars Of Statistical Wisdom

Author : Ernest DeWitt Burton Distinguished Service Professor of Statistics Stephen M Stigler
ISBN : 0674088913
Genre :
File Size : 32.18 MB
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What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional statistician."
Category:

Statistics On The Table

Author : Stephen M. Stigler
ISBN : 0674009797
Genre : Mathematics
File Size : 63.63 MB
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This lively collection of essays examines statistical ideas with an ironic eye for their essence and what their history can tell us for current disputes. The topics range from seventeenth-century medicine and the circulation of blood, to the cause of the Great Depression and the effect of the California gold discoveries of 1848 upon price levels, to the determinations of the shape of the Earth and the speed of light, to the meter of Virgil's poetry and the prediction of the Second Coming of Christ.
Category: Mathematics

Statistics As Principled Argument

Author : Robert P. Abelson
ISBN : 9781135694418
Genre : Psychology
File Size : 55.29 MB
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In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.
Category: Psychology

Teaching Statistics

Author : Andrew Gelman
ISBN : 9780191088643
Genre : Mathematics
File Size : 22.58 MB
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Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, activities, examples, and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and has chapters such as 'First week of class'— with exercises to break the ice and get students talking; then descriptive statistics, graphics, linear regression, data collection (sampling and experimentation), probability, inference, and statistical communication. Part II gives tips on what works and what doesn't, how to set up effective demonstrations, how to encourage students to participate in class and to work effectively in group projects. Course plans for introductory statistics, statistics for social scientists, and communication and graphics are provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics, sampling, and data science.
Category: Mathematics

Statistics Done Wrong

Author : Alex Reinhart
ISBN : 9781593276201
Genre : Mathematics
File Size : 54.81 MB
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Statistics Done Wrong describes how researchers often go wrong and teaches you the best practices for avoiding their mistakes.
Category: Mathematics

Comparative Statistical Inference

Author : Vic Barnett
ISBN : 0471976431
Genre : Mathematics
File Size : 71.49 MB
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This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making. Much has happened in this field since the second edition was published: for example, Bayesian inferential procedures have not only gained acceptance but are often the preferred methodology. This book will be welcomed by both the student and practising statistician wishing to study at a fairly elementary level, the basic conceptual and interpretative distinctions between the different approaches, how they interrelate, what assumptions they are based on, and the practical implications of such distinctions. As in earlier editions, the material is set in a historical context to more powerfully illustrate the ideas and concepts. * Includes fully updated and revised material from the successful second edition * Recent changes in emphasis, principle and methodology are carefully explained and evaluated * Discusses all recent major developments * Particular attention is given to the nature and importance of basic concepts (probability, utility, likelihood etc) * Includes extensive references and bibliography Written by a well-known and respected author, the essence of this successful book remains unchanged providing the reader with a thorough explanation of the many approaches to inference and decision making.
Category: Mathematics

In Defence Of Objective Bayesianism

Author : Jon Williamson
ISBN : 9780199228003
Genre : Computers
File Size : 81.13 MB
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Objective Bayesianism is a methodological theory that is currently applied in statistics, philosophy, artificial intelligence, physics and other sciences. This book develops the formal and philosophical foundations of the theory, at a level accessible to a graduate student with some familiarity with mathematical notation.
Category: Computers

Computer Age Statistical Inference

Author : Bradley Efron
ISBN : 9781107149892
Genre : Business & Economics
File Size : 74.32 MB
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Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.
Category: Business & Economics