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Author: R. C. Bose
Publisher:
ISBN: 9780807879795
Category : Mathematics
Languages : en
Pages : 0
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Book Description
This collection of thirty-nine original papers covers a variety of important topics, including multivariate analysis, testing procedures, multiresponse experiments, categorical data analysis, statistical inference, decision theory, stochastic processes, experimental design, and coding theory. Originally published in 1969. A UNC Press Enduring Edition -- UNC Press Enduring Editions use the latest in digital technology to make available again books from our distinguished backlist that were previously out of print. These editions are published unaltered from the original, and are presented in affordable paperback formats, bringing readers both historical and cultural value.
Author: R. C. Bose
Publisher:
ISBN: 9780807879795
Category : Mathematics
Languages : en
Pages : 0
Get Book Here
Book Description
This collection of thirty-nine original papers covers a variety of important topics, including multivariate analysis, testing procedures, multiresponse experiments, categorical data analysis, statistical inference, decision theory, stochastic processes, experimental design, and coding theory. Originally published in 1969. A UNC Press Enduring Edition -- UNC Press Enduring Editions use the latest in digital technology to make available again books from our distinguished backlist that were previously out of print. These editions are published unaltered from the original, and are presented in affordable paperback formats, bringing readers both historical and cultural value.
Author: Johann Pfanzagl
Publisher: Springer
ISBN: 3642310842
Category : Mathematics
Languages : en
Pages : 321
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Book Description
This book presents a detailed description of the development of statistical theory. In the mid twentieth century, the development of mathematical statistics underwent an enduring change, due to the advent of more refined mathematical tools. New concepts like sufficiency, superefficiency, adaptivity etc. motivated scholars to reflect upon the interpretation of mathematical concepts in terms of their real-world relevance. Questions concerning the optimality of estimators, for instance, had remained unanswered for decades, because a meaningful concept of optimality (based on the regularity of the estimators, the representation of their limit distribution and assertions about their concentration by means of Anderson’s Theorem) was not yet available. The rapidly developing asymptotic theory provided approximate answers to questions for which non-asymptotic theory had found no satisfying solutions. In four engaging essays, this book presents a detailed description of how the use of mathematical methods stimulated the development of a statistical theory. Primarily focused on methodology, questionable proofs and neglected questions of priority, the book offers an intriguing resource for researchers in theoretical statistics, and can also serve as a textbook for advanced courses in statisticc.
Author: Miles A. Kimball
Publisher: Routledge
ISBN: 135153761X
Category : Art
Languages : en
Pages : 330
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Book Description
Bringing together scholars from around the world, this collection examines many of the historical developments in making data visible through charts, graphs, thematic maps, and now interactive displays. Today, we are used to seeing data portrayed in a dizzying array of graphic forms. Virtually any quantified knowledge, from social and physical science to engineering and medicine, as well as business, government, or personal activity, has been visualized. Yet the methods of making data visible are relatively new innovations, most stemming from eighteenth- and nineteenth-century innovations that arose as a logical response to a growing desire to quantify everything-from science, economics, and industry to population, health, and crime. Innovators such as Playfair, Alexander von Humboldt, Heinrich Berghaus, John Snow, Florence Nightingale, Francis Galton, and Charles Minard began to develop graphical methods to make data and their relations more visible. In the twentieth century, data design became both increasingly specialized within new and existing disciplines-science, engineering, social science, and medicine-and at the same time became further democratized, with new forms that make statistical, business, and government data more accessible to the public. At the close of the twentieth century and the beginning of the twenty-first, an explosion in interactive digital data design has exponentially increased our access to data. The contributors analyze this fascinating history through a variety of critical approaches, including visual rhetoric, visual culture, genre theory, and fully contextualized historical scholarship.
Author: Amy Batchelor
Publisher: Columbia University Press
ISBN: 0231550227
Category : Social Science
Languages : en
Pages : 143
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Book Description
Understanding statistical concepts is essential for social work professionals. It is key to understanding research and reaching evidence-based decisions in your own practice—but that is only the beginning. If you understand statistics, you can determine the best interventions for your clients. You can use new tools to monitor and evaluate the progress of your client or team. You can recognize biased systems masked by complex models and the appearance of scientific neutrality. For social workers, statistics are not just math, they are a critical practice tool. This concise and approachable introduction to statistics limits its coverage to the concepts most relevant to social workers. Statistics in Social Work guides students through concepts and procedures from descriptive statistics and correlation to hypothesis testing and inferential statistics. Besides presenting key concepts, it focuses on real-world examples that students will encounter in a social work practice. Using concrete illustrations from a variety of potential concentrations and populations, Amy Batchelor creates clear connections between theory and practice—and demonstrates the important contributions statistics can make to evidence-based and rigorous social work practice.
Author: Anne Boomsma
Publisher: Springer Science & Business Media
ISBN: 1461301696
Category : Social Science
Languages : en
Pages : 450
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Book Description
This collection of papers provides an up to date treatment of item response theory, an important topic in educational testing.
Author: Andriëtte Bekker
Publisher: Springer
ISBN: 9783030421953
Category : Medical
Languages : en
Pages : 543
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Book Description
In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes. Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a carefully curated collection of prominent international thought leaders, it fosters collaboration between statisticians and biostatisticians and provides an array of thought processes and tools to its readers. The book thereby creates an understanding and appreciation of recent developments as well as an implementation of these contributions within the broader framework of both academia and industry. Computational and Methodological Statistics and Biostatistics is composed of three main themes: • Recent developments in theory and applications of statistical distributions;• Recent developments in supervised and unsupervised modelling;• Recent developments in biostatistics; and also features programming code and accompanying algorithms to enable readers to replicate and implement methodologies. Therefore, this monograph provides a concise point of reference for a variety of current trends and topics within the statistical domain. With interdisciplinary appeal, it will be useful to researchers, graduate students, and practitioners in statistics, biostatistics, clinical methodology, geology, data science, and actuarial science, amongst others.
Author: Stephen M. Stigler
Publisher: Harvard University Press
ISBN: 9780674009790
Category : History
Languages : en
Pages : 514
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Book Description
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 17th-century medicine and the circulation of blood, to the cause of the Great Depression, to the determinations of the shape of the Earth and the speed of light.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Clemson University in South Carolina presents information about its statistics and probability graduate program within the Department of Mathematical Sciences. The department provides a brief overview of the program and lists the courses and faculty.
Author: Dev Basu
Publisher: Springer
ISBN:
Category : Mathematics
Languages : en
Pages : 394
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Book Description
This book is a collection of essays on the foundations of Statistical Inference. The sequence in which the essays have been arranged makes it possible to read the book as a single contemporay discourse on the likelihood principle, the paradoxes that attend its violation, and the radical deviation from classical statistical practices that its adoption would entail. The book can also be read, with the aid of the notes as a chronicle of the development of Basu's ideas.
Author: Klaus Hinkelmann
Publisher: CRC Press
ISBN: 9780824771515
Category : Mathematics
Languages : en
Pages : 428
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Book Description
Contributions to Iowa State University and Beyond; Design and analysis of experiments; Linear and non-linear models; Statistical and population genetics.
