A Selection of Early Statistical Papers PDF Download

Author:
Publisher: Univ of California Press
ISBN:
Category :
Languages : en
Pages : 444

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Author: Jerzy Neyman
Publisher: Univ of California Press
ISBN: 0520327012
Category : Mathematics
Languages : en
Pages : 443

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Author: David Roxbee Cox
Publisher: Cambridge University Press
ISBN: 9780521849395
Category : Business & Economics
Languages : en
Pages : 620

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Sir David Cox's most important papers, each the subject of a new commentary by Professor Cox.

Author:
Publisher: CUP Archive
ISBN:
Category :
Languages : en
Pages : 624

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Author: Norman L. Johnson
Publisher: John Wiley & Sons
ISBN: 1118150724
Category : Mathematics
Languages : en
Pages : 432

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A fascinating chronicle of the lives and achievements of the menand women who helped shapethe science of statistics This handsomely illustrated volume will make enthralling readingfor scientists, mathematicians, and science history buffs alike.Spanning nearly four centuries, it chronicles the lives andachievements of more than 110 of the most prominent names intheoretical and applied statistics and probability. From Bernoullito Markov, Poisson to Wiener, you will find intimate profiles ofwomen and men whose work led to significant advances in the areasof statistical inference and theory, probability theory, governmentand economic statistics, medical and agricultural statistics, andscience and engineering. To help readers arrive at a fullerappreciation of the contributions these pioneers made, the authorsvividly re-create the times in which they lived while exploring themajor intellectual currents that shaped their thinking andpropelled their discoveries. Lavishly illustrated with more than 40 authentic photographs andwoodcuts * Includes a comprehensive timetable of statistics from theseventeenth century to the present * Features edited chapters written by 75 experts from around theglobe * Designed for easy reference, features a unique numbering schemethat matches the subject profiled with his or her particular fieldof interest

Author: Jerzy Neyman
Publisher: Univ of California Press
ISBN:
Category :
Languages : en
Pages : 314

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Author: Martha A. Tucker
Publisher: Bloomsbury Publishing USA
ISBN: 0313053375
Category : Language Arts & Disciplines
Languages : en
Pages : 362

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Book Description
This book is a reference for librarians, mathematicians, and statisticians involved in college and research level mathematics and statistics in the 21st century. We are in a time of transition in scholarly communications in mathematics, practices which have changed little for a hundred years are giving way to new modes of accessing information. Where journals, books, indexes and catalogs were once the physical representation of a good mathematics library, shelves have given way to computers, and users are often accessing information from remote places. Part I is a historical survey of the past 15 years tracking this huge transition in scholarly communications in mathematics. Part II of the book is the bibliography of resources recommended to support the disciplines of mathematics and statistics. These are grouped by type of material. Publication dates range from the 1800's onwards. Hundreds of electronic resources-some online, both dynamic and static, some in fixed media, are listed among the paper resources. Amazingly a majority of listed electronic resources are free.

Author: Egon Sharpe Pearson
Publisher: Univ of California Press
ISBN:
Category :
Languages : en
Pages : 344

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The distribution of frequency constants in small samples from symmetrical populations; The distribution of frequency constants in small samples from non-normal symmetrical and skew populations; Some notes on sampling tests with two variables; The analysis of variance in cases of non-normal variation; Methods of statistical analysis appropriate for k samples of two variables; The use of confidence of fiducial limits illustrated in the case of the binomial; The efficiency of statistical tools and a criterion for the rejection of outlying observations; Some aspects of the problem of randomization; The probability integral transformation for testing goodness of fit and combining independent tests of significance; A note on further properties of statistical tests;Notes on testing statistical hypotheses;

Author: Richard McElreath
Publisher: CRC Press
ISBN: 1315362619
Category : Mathematics
Languages : en
Pages : 488

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Book Description
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Author: Deborah G. Mayo
Publisher: University of Chicago Press
ISBN: 0226511987
Category : Mathematics
Languages : en
Pages : 512

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Book Description
Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.