Early Statistical Papers

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Author :
Publisher : CUP Archive
ISBN 13 :
Total Pages : 624 pages
Book Rating : 4./5 ( download)

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Book Synopsis Early Statistical Papers by :

Download or read book Early Statistical Papers written by and published by CUP Archive. This book was released on with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Selection of Early Statistical Papers

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Author :
Publisher : Univ of California Press
ISBN 13 :
Total Pages : 444 pages
Book Rating : 4./5 ( download)

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Book Synopsis A Selection of Early Statistical Papers by :

Download or read book A Selection of Early Statistical Papers written by and published by Univ of California Press. This book was released on with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Selection of Early Statistical Papers of J. Neyman

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Author :
Publisher : Univ of California Press
ISBN 13 : 0520327012
Total Pages : 443 pages
Book Rating : 4.5/5 (23 download)

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Book Synopsis A Selection of Early Statistical Papers of J. Neyman by : Jerzy Neyman

Download or read book A Selection of Early Statistical Papers of J. Neyman written by Jerzy Neyman and published by Univ of California Press. This book was released on 2023-11-15 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Rethinking

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Publisher : CRC Press
ISBN 13 : 1315362619
Total Pages : 488 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Statistical Rethinking by : Richard McElreath

Download or read book Statistical Rethinking written by Richard McElreath and published by CRC Press. This book was released on 2018-01-03 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

E.T. Jaynes

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Publisher : Springer Science & Business Media
ISBN 13 : 9780792302131
Total Pages : 468 pages
Book Rating : 4.3/5 (21 download)

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Book Synopsis E.T. Jaynes by : Edwin T. Jaynes

Download or read book E.T. Jaynes written by Edwin T. Jaynes and published by Springer Science & Business Media. This book was released on 1989-04-30 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first six chapters of this volume present the author's 'predictive' or information theoretic' approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maximum entropy (Le. , as distributions that are most non-committal with regard to missing information among all those satisfying the macroscopically given constraints). There is then no need to make additional assumptions of ergodicity or metric transitivity; the theory proceeds entirely by inference from macroscopic measurements and the underlying dynamical assumptions. Moreover, the method of maximizing the entropy is completely general and applies, in particular, to irreversible processes as well as to reversible ones. The next three chapters provide a broader framework - at once Bayesian and objective - for maximum entropy inference. The basic principles of inference, including the usual axioms of probability, are seen to rest on nothing more than requirements of consistency, above all, the requirement that in two problems where we have the same information we must assign the same probabilities. Thus, statistical mechanics is viewed as a branch of a general theory of inference, and the latter as an extension of the ordinary logic of consistency. Those who are familiar with the literature of statistics and statistical mechanics will recognize in both of these steps a genuine 'scientific revolution' - a complete reversal of earlier conceptions - and one of no small significance.

Joint Statistical Papers

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Publisher : Univ of California Press
ISBN 13 :
Total Pages : 314 pages
Book Rating : 4./5 ( download)

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Book Synopsis Joint Statistical Papers by : Jerzy Neyman

Download or read book Joint Statistical Papers written by Jerzy Neyman and published by Univ of California Press. This book was released on with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0387464093
Total Pages : 221 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 by : Anders Hald

Download or read book A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935 written by Anders Hald and published by Springer Science & Business Media. This book was released on 2008-08-24 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it examines: binomial statistical inference; statistical inference by inverse probability; the central limit theorem and linear minimum variance estimation by Laplace and Gauss; error theory, skew distributions, correlation, sampling distributions; and the Fisherian Revolution. Lively biographical sketches of many of the main characters are featured throughout, including Laplace, Gauss, Edgeworth, Fisher, and Karl Pearson. Also examined are the roles played by DeMoivre, James Bernoulli, and Lagrange.

Adventures in Stochastic Processes

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Publisher : Springer Science & Business Media
ISBN 13 : 1461203872
Total Pages : 640 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Adventures in Stochastic Processes by : Sidney I. Resnick

Download or read book Adventures in Stochastic Processes written by Sidney I. Resnick and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness. This text offers easy access to this fundamental topic for many students of applied sciences at many levels. It includes examples, exercises, applications, and computational procedures. It is uniquely useful for beginners and non-beginners in the field. No knowledge of measure theory is presumed.

Leading Personalities in Statistical Sciences

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Publisher : John Wiley & Sons
ISBN 13 : 1118150724
Total Pages : 432 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Leading Personalities in Statistical Sciences by : Norman L. Johnson

Download or read book Leading Personalities in Statistical Sciences written by Norman L. Johnson and published by John Wiley & Sons. This book was released on 2011-09-26 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Chaos: A Statistical Perspective

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Publisher : Springer Science & Business Media
ISBN 13 : 1475734646
Total Pages : 312 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Chaos: A Statistical Perspective by : Kung-Sik Chan

Download or read book Chaos: A Statistical Perspective written by Kung-Sik Chan and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses dynamical systems that are typically driven by stochastic dynamic noise. It is written by two statisticians essentially for the statistically inclined readers. It covers many of the contributions made by the statisticians in the past twenty years or so towards our understanding of estimation, the Lyapunov-like index, the nonparametric regression, and many others, many of which are motivated by their dynamical system counterparts but have now acquired a distinct statistical flavor.

Statistical Inference as Severe Testing

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Publisher : Cambridge University Press
ISBN 13 : 1108563309
Total Pages : 503 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Statistical Inference as Severe Testing by : Deborah G. Mayo

Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Introductory Statistics with R

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Publisher : Springer Science & Business Media
ISBN 13 : 0387790543
Total Pages : 370 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Introductory Statistics with R by : Peter Dalgaard

Download or read book Introductory Statistics with R written by Peter Dalgaard and published by Springer Science & Business Media. This book was released on 2008-06-27 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.

Guide to Information Sources in Mathematics and Statistics

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Publisher : Bloomsbury Publishing USA
ISBN 13 : 0313053375
Total Pages : 362 pages
Book Rating : 4.3/5 (13 download)

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Book Synopsis Guide to Information Sources in Mathematics and Statistics by : Martha A. Tucker

Download or read book Guide to Information Sources in Mathematics and Statistics written by Martha A. Tucker and published by Bloomsbury Publishing USA. This book was released on 2004-09-30 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Natural Image Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 1848824912
Total Pages : 450 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Natural Image Statistics by : Aapo Hyvärinen

Download or read book Natural Image Statistics written by Aapo Hyvärinen and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, “natural images” are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re?ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the ?eld in a single book, providing a uni?ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the ?eld for students in related disciplines.

Fundamental Statistics for Social Research

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Author :
Publisher : Routledge
ISBN 13 : 1134693249
Total Pages : 4 pages
Book Rating : 4.1/5 (346 download)

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Book Synopsis Fundamental Statistics for Social Research by : Duncan Cramer

Download or read book Fundamental Statistics for Social Research written by Duncan Cramer and published by Routledge. This book was released on 2003-09-02 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible introduction to statistics using the program SPSS for Windows explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Keeping statistical symbols and formulae to a minimum and using simple examples, this book: * assumes no prior knowledge of statistics or computing * includes a concise introduction to the program SPSS for Windows * describes a wider range of tests than other introductory texts * contains a comprehensive range of exercises with answers Fundamental Statistics for Social Research covers SPSS Release 6 for Windows 3.1 and Release 7 for Windows 95. It will prove an invaluable introductory statistics text for students, and a useful resource for graduates and professionals engaged in research in the social sciences.

Encyclopedia of Statistical Sciences, Volume 12

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Publisher : John Wiley & Sons
ISBN 13 : 0471744069
Total Pages : 562 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Encyclopedia of Statistical Sciences, Volume 12 by :

Download or read book Encyclopedia of Statistical Sciences, Volume 12 written by and published by John Wiley & Sons. This book was released on 2005-12-16 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: ENCYCLOPEDIA OF STATISTICAL SCIENCES

Monte Carlo Statistical Methods

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Publisher : Springer Science & Business Media
ISBN 13 : 1475741456
Total Pages : 670 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Monte Carlo Statistical Methods by : Christian Robert

Download or read book Monte Carlo Statistical Methods written by Christian Robert and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.