Philosophy of Statistics

Produk Detail:
  • Author : Anonim
  • Publisher : Elsevier
  • Pages : 1260 pages
  • ISBN : 9780080930961
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Philosophy of Statistics

Download or Read online Philosophy of Statistics full in PDF, ePub and kindle. this book written by Anonim and published by Elsevier which was released on 31 May 2011 with total page 1260 pages. We cannot guarantee that Philosophy of Statistics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy these shortcomings. It provides state-of-the-art research in the area of philosophy of statistics by encouraging numerous experts to communicate with one another without feeling “restricted by their disciplines or thinking “piecemeal in their treatment of issues. A second goal of this book is to present work in the field without bias toward any particular statistical paradigm. Broadly speaking, the essays in this Handbook are concerned with problems of induction, statistics and probability. For centuries, foundational problems like induction have been among philosophers’ favorite topics; recently, however, non-philosophers have increasingly taken a keen interest in these issues. This volume accordingly contains papers by both philosophers and non-philosophers, including scholars from nine academic disciplines. Provides a bridge between philosophy and current scientific findings Covers theory and applications Encourages multi-disciplinary dialogue

Philosophy of Statistics

Philosophy of Statistics
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 31 May 2011
GET THIS BOOK Philosophy of Statistics

Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy these shortcomings. It provides state-of-the-art research in the area of philosophy of statistics by encouraging numerous experts to communicate with one another without feeling “restricted by their disciplines or thinking “piecemeal in their treatment of issues. A second goal of this book is to present work in the field without bias toward any particular statistical paradigm. Broadly speaking, the essays

Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

Foundations of Probability Theory  Statistical Inference  and Statistical Theories of Science
  • Author : William Harper,Cliff Hooker
  • Publisher : Springer
  • Release : 31 December 1975
GET THIS BOOK Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

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

Logic of Statistical Inference

Logic of Statistical Inference
  • Author : Ian Hacking
  • Publisher : Cambridge University Press
  • Release : 31 August 2016
GET THIS BOOK Logic of Statistical Inference

This book showcases Ian Hacking's early ideas on the central issues surrounding statistical reasoning. Presented in a fresh twenty-first-century series livery, and with a specially commissioned new preface, this influential work is now available for a new generation of readers in statistics, philosophy of science and philosophy of maths.

Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

Foundations of Probability Theory  Statistical Inference  and Statistical Theories of Science
  • Author : W.L. Harper,C.A. Hooker
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

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

Uncertainty

Uncertainty
  • Author : William Briggs
  • Publisher : Springer
  • Release : 15 July 2016
GET THIS BOOK Uncertainty

This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what

Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

Foundations of Probability Theory  Statistical Inference  and Statistical Theories of Science
  • Author : W.L. Harper,C.A. Hooker
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

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

The Philosophy of Quantitative Methods

The Philosophy of Quantitative Methods
  • Author : Brian D. Haig
  • Publisher : Oxford University Press
  • Release : 04 January 2018
GET THIS BOOK The Philosophy of Quantitative Methods

The Philosophy of Quantitative Methods focuses on the conceptual foundations of research methods within the behavioral sciences. In particular, it undertakes a close philosophical examination of a variety of quantitative research methods that are prominent in (or relevant for) the conduct of research in these fields. By doing so, the deep structure of these methods is examined in order to overcome the non-critical approaches typically found in the existing literature today. In this book, Brian D. Haig focuses on the

Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

Foundations of Probability Theory  Statistical Inference  and Statistical Theories of Science
  • Author : W.L. Harper,C.A. Hooker
  • Publisher : Springer
  • Release : 31 December 1975
GET THIS BOOK Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

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

Error and Inference

Error and Inference
  • Author : Deborah G. Mayo,Aris Spanos
  • Publisher : Cambridge University Press
  • Release : 30 September 2010
GET THIS BOOK Error and Inference

Explores the nature of error and inference, drawing on exchanges on experimental reasoning, reliability, and the objectivity of science.

Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

Foundations of Probability Theory  Statistical Inference  and Statistical Theories of Science
  • Author : W.L. Harper,C.A. Hooker
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Foundations of Probability Theory Statistical Inference and Statistical Theories of Science

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

The Logical Foundations of Statistical Inference

The Logical Foundations of Statistical Inference
  • Author : Henry E. Kyburg Jr.
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK The Logical Foundations of Statistical Inference

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