The Foundations Of Statistical Inference

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The Logical Foundations of Statistical Inference

Author : Henry E. Kyburg Jr.
Publisher : Springer Science & Business Media
Page : 440 pages
File Size : 52,7 Mb
Release : 2012-12-06
Category : Philosophy
ISBN : 9789401021753

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The Logical Foundations of Statistical Inference by Henry E. Kyburg Jr. Pdf

Everyone knows it is easy to lie with statistics. It is important then to be able to tell a statistical lie from a valid statistical inference. It is a relatively widely accepted commonplace that our scientific knowledge is not certain and incorrigible, but merely probable, subject to refinement, modifi cation, and even overthrow. The rankest beginner at a gambling table understands that his decisions must be based on mathematical ex pectations - that is, on utilities weighted by probabilities. It is widely held that the same principles apply almost all the time in the game of life. If we turn to philosophers, or to mathematical statisticians, or to probability theorists for criteria of validity in statistical inference, for the general principles that distinguish well grounded from ill grounded generalizations and laws, or for the interpretation of that probability we must, like the gambler, take as our guide in life, we find disagreement, confusion, and frustration. We might be prepared to find disagreements on a philosophical and theoretical level (although we do not find them in the case of deductive logic) but we do not expect, and we may be surprised to find, that these theoretical disagreements lead to differences in the conclusions that are regarded as 'acceptable' in the practice of science and public affairs, and in the conduct of business.

Foundations of Statistical Inference

Author : Yoel Haitovsky,Hans Rudolf Lerche,Ya'acov Ritov
Publisher : Springer Science & Business Media
Page : 230 pages
File Size : 50,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642574108

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Foundations of Statistical Inference by Yoel Haitovsky,Hans Rudolf Lerche,Ya'acov Ritov Pdf

This volume is a collection of papers presented at a conference held in Shoresh Holiday Resort near Jerusalem, Israel, in December 2000 organized by the Israeli Ministry of Science, Culture and Sport. The theme of the conference was "Foundation of Statistical Inference: Applications in the Medical and Social Sciences and in Industry and the Interface of Computer Sciences". The following is a quotation from the Program and Abstract booklet of the conference. "Over the past several decades, the field of statistics has seen tremendous growth and development in theory and methodology. At the same time, the advent of computers has facilitated the use of modern statistics in all branches of science, making statistics even more interdisciplinary than in the past; statistics, thus, has become strongly rooted in all empirical research in the medical, social, and engineering sciences. The abundance of computer programs and the variety of methods available to users brought to light the critical issues of choosing models and, given a data set, the methods most suitable for its analysis. Mathematical statisticians have devoted a great deal of effort to studying the appropriateness of models for various types of data, and defining the conditions under which a particular method work. " In 1985 an international conference with a similar title* was held in Is rael. It provided a platform for a formal debate between the two main schools of thought in Statistics, the Bayesian, and the Frequentists.

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science

Author : W.L. Harper,C.A. Hooker
Publisher : Springer Science & Business Media
Page : 464 pages
File Size : 49,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401014366

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Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science by W.L. Harper,C.A. Hooker Pdf

In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in probabilistic and statistical theories. These advances, which include the development of the relations between semantics and metamathematics, between logics and algebras and the algebraic-geometrical foundations of statistical theories (especially in the sciences), have led to striking new insights into the formal and conceptual structure of probability and statistical theory and their scientific applications in the form of scientific theory. The foundations of statistics are in a state of profound conflict. Fisher's objections to some aspects of Neyman-Pearson statistics have long been well known. More recently the emergence of Bayesian statistics as a radical alternative to standard views has made the conflict especially acute. In recent years the response of many practising statisticians to the conflict has been an eclectic approach to statistical inference. Many good statisticians have developed a kind of wisdom which enables them to know which problems are most appropriately handled by each of the methods available. The search for principles which would explain why each of the methods works where it does and fails where it does offers a fruitful approach to the controversy over foundations.

Foundations of Statistical Inference

Author : Savage
Publisher : Unknown
Page : 112 pages
File Size : 40,6 Mb
Release : 1974-05-01
Category : Electronic
ISBN : 0470755180

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Foundations of Statistical Inference by Savage Pdf

Statistical Foundations, Reasoning and Inference

Author : Göran Kauermann,Helmut Küchenhoff,Christian Heumann
Publisher : Springer Nature
Page : 361 pages
File Size : 55,5 Mb
Release : 2021-09-30
Category : Mathematics
ISBN : 9783030698270

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Statistical Foundations, Reasoning and Inference by Göran Kauermann,Helmut Küchenhoff,Christian Heumann Pdf

This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master’s students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.

Foundations of Statistical Natural Language Processing

Author : Christopher Manning,Hinrich Schutze
Publisher : MIT Press
Page : 719 pages
File Size : 54,9 Mb
Release : 1999-05-28
Category : Language Arts & Disciplines
ISBN : 9780262303798

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Foundations of Statistical Natural Language Processing by Christopher Manning,Hinrich Schutze Pdf

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

Modes of Parametric Statistical Inference

Author : Seymour Geisser,Wesley O. Johnson
Publisher : John Wiley & Sons
Page : 218 pages
File Size : 43,8 Mb
Release : 2006-01-27
Category : Mathematics
ISBN : 9780471743125

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Modes of Parametric Statistical Inference by Seymour Geisser,Wesley O. Johnson Pdf

A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference. Readers gain a deeper understanding of the evolution and underlying logic of each mode as well as each mode's strengths and weaknesses. The book begins with fascinating highlights from the history of statistical inference. Readers are given historical examples of statistical reasoning used to address practical problems that arose throughout the centuries. Next, the book goes on to scrutinize four major modes of statistical inference: * Frequentist * Likelihood * Fiducial * Bayesian The author provides readers with specific examples and counterexamples of situations and datasets where the modes yield both similar and dissimilar results, including a violation of the likelihood principle in which Bayesian and likelihood methods differ from frequentist methods. Each example is followed by a detailed discussion of why the results may have varied from one mode to another, helping the reader to gain a greater understanding of each mode and how it works. Moreover, the author provides considerable mathematical detail on certain points to highlight key aspects of theoretical development. The author's writing style and use of examples make the text clear and engaging. This book is fundamental reading for graduate-level students in statistics as well as anyone with an interest in the foundations of statistics and the principles underlying statistical inference, including students in mathematics and the philosophy of science. Readers with a background in theoretical statistics will find the text both accessible and absorbing.

Statistical Inference as Severe Testing

Author : Deborah G. Mayo
Publisher : Cambridge University Press
Page : 503 pages
File Size : 41,5 Mb
Release : 2018-09-20
Category : Mathematics
ISBN : 9781107054134

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Statistical Inference as Severe Testing by Deborah G. Mayo Pdf

Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.

The Foundations of Statistical Inference;

Author : Joint Statistics Seminar (1959 Univ
Publisher : Hassell Street Press
Page : 120 pages
File Size : 52,8 Mb
Release : 2021-09-09
Category : Electronic
ISBN : 1013601955

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The Foundations of Statistical Inference; by Joint Statistics Seminar (1959 Univ Pdf

This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Foundations and Philosophy of Epistemic Applications of Probability Theory

Author : W.L. Harper,Cliff Hooker
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 46,6 Mb
Release : 1976
Category : Gardening
ISBN : 9027706174

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Foundations and Philosophy of Epistemic Applications of Probability Theory by W.L. Harper,Cliff Hooker Pdf

Proceedings of an International Research Colloquium held at the University of Western Ontario, 10-13 May 1973.

Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science: Foundations and philosophy of statistical theories in the physical sciences

Author : William Leonard Harper,Clifford Alan Hooker
Publisher : Unknown
Page : 264 pages
File Size : 51,9 Mb
Release : 1976
Category : Mathematical statistics
ISBN : UOM:39015017129928

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Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science: Foundations and philosophy of statistical theories in the physical sciences by William Leonard Harper,Clifford Alan Hooker Pdf

Foundations of Statistical Inference

Author : University of Waterloo
Publisher : Unknown
Page : 519 pages
File Size : 52,9 Mb
Release : 1971
Category : Mathematical statistics
ISBN : 0039281035

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Foundations of Statistical Inference by University of Waterloo Pdf