Joint Statistical Papers PDF Download
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Author: Jerzy Neyman
Publisher: Univ of California Press
ISBN: 0520339894
Category : Mathematics
Languages : en
Pages : 309
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Book Description
Author: Jerzy Neyman
Publisher: Univ of California Press
ISBN: 0520339894
Category : Mathematics
Languages : en
Pages : 309
Get Book Here
Book Description
Author: Masafumi Akahira
Publisher: World Scientific
ISBN: 9812791221
Category : Mathematics
Languages : en
Pages : 615
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Book Description
Masafumi Akahira and Kei Takeuchi have collaborated in research on mathematical statistics for nearly thirty years and have published many articles and papers. This volume is a collection of their papers, some published in well-known and others in lesser-known journals. The papers cover various fields, but the main subject is the theory of estimation -- asymptotic, non-regular, sequential, etc. All the papers are theoretical in nature, but have implications for applied problems.
Author: Egon Sharpe Pearson
Publisher: Univ of California Press
ISBN:
Category :
Languages : en
Pages : 344
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Book Description
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: Norman L. Johnson
Publisher: John Wiley & Sons
ISBN: 1118150724
Category : Mathematics
Languages : en
Pages : 432
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Book Description
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: Deborah G. Mayo
Publisher: Cambridge University Press
ISBN: 1108563309
Category : Mathematics
Languages : en
Pages : 503
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Book Description
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.
Author: National Academy of Sciences
Publisher: National Academies Press
ISBN: 0309049768
Category : Biography & Autobiography
Languages : en
Pages : 547
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Book Description
Biographic Memoirs: Volume 63 contains the biographies of deceased members of the National Academy of Sciences and bibliographies of their published works. Each biographical essay was written by a member of the Academy familiar with the professional career of the deceased. For historical and bibliographical purposes, these volumes are worth returning to time and again.
Author: James Berger
Publisher: CRC Press
ISBN: 1003837697
Category : Mathematics
Languages : en
Pages : 564
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Book Description
The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data and highlighted the importance of statistical inference. Despite the tremendous progress that has been made, statistical science is still a young discipline and continues to have several different and competing paths in its approaches and its foundations. While the emergence of competing approaches is a natural progression of any scientific discipline, differences in the foundations of statistical inference can sometimes lead to different interpretations and conclusions from the same dataset. The increased interest in the foundations of statistical inference has led to many publications, and recent vibrant research activities in statistics, applied mathematics, philosophy and other fields of science reflect the importance of this development. The BFF approaches not only bridge foundations and scientific learning, but also facilitate objective and replicable scientific research, and provide scalable computing methodologies for the analysis of big data. Most of the published work typically focusses on a single topic or theme, and the body of work is scattered in different journals. This handbook provides a comprehensive introduction and broad overview of the key developments in the BFF schools of inference. It is intended for researchers and students who wish for an overview of foundations of inference from the BFF perspective and provides a general reference for BFF inference. Key Features: Provides a comprehensive introduction to the key developments in the BFF schools of inference Gives an overview of modern inferential methods, allowing scientists in other fields to expand their knowledge Is accessible for readers with different perspectives and backgrounds
Author: Paul C. Nutt
Publisher: John Wiley & Sons
ISBN: 1405161353
Category : Business & Economics
Languages : en
Pages : 723
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Book Description
HANDBOOK OF DECISION MAKING This handbook offers a state-of-the-art overview of research and theories on decision making in organizations at the strategic level of analysis. Chapters are authored by leading international scholars, with some illustrative case vignettes from practitioners. Each contributor was selected for his/her special knowledge of the field. The Handbook addresses key questions confronting the decision making research of the past and the present, offers critiques, and suggests future research directions. Topics covered emphasize the classic decision theory perspectives while also incorporating recent insights from the fields of strategic choice, risk & uncertainty, scenario planning and complexity theory, with a broad social science perspective on the disciplinary roots of decision theory in economics, politics, and social theory. This is a landmark reference volume for the field, offering scholars and practitioners: Comprehensive, but accessible, coverage of classic and recent developments Chapters by established international experts Case analyses illustrating practical consequences of theories Guide to new research directions and theory
Author: Robert G. Colodny
Publisher: University of Pittsburgh Pre
ISBN: 082297617X
Category : Philosophy
Languages : en
Pages : 273
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Book Description
This volume centers on philosophical issues of the life sciences, particularly genetics and psychology, and the relevance of statistical data as the foundation for inductive reasoning in areas such as vaccination testing, population genetics, evolutionary theory, and natural selection. Also discussed is the role of psychology in defining thought processes, experiences, and behaviors and their subsequent relation to scientific discovery, and advancing knowledge of the human condition and human potential.
Author: Leonard J. Savage
Publisher: Courier Corporation
ISBN: 0486137104
Category : Mathematics
Languages : en
Pages : 341
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Book Description
Classic analysis of the foundations of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revised edition. Calculus, probability, statistics, and Boolean algebra are recommended.
