Philosophy Of Statistics

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Publisher: Elsevier
ISBN: 9780080930961
Size: 71.36 MB
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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 Probability

Author: Antony Eagle
Publisher:
ISBN: 9780415483872
Size: 13.26 MB
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`The philosophy of probability has had a venerable history, but recently it has especially stepped into the limelight, and it is flourishing nowadays. This volume brings together both classics and cutting-edge contributions to its literature. Antony Eagle does an excellent job of orienting the reader by grouping these articles thematically, and by providing a panoramic and incisive introduction to each of the themes. A terrific resource --- that's a certainty'. Alan Hajek, The Australian National University, Australia The book features a useful primer on the mathematics of probability, and each section includes an introduction by the editor, as well as a guide to further reading. A broad-ranging and highly accessible exploration of the subject, Philosophy of Probability is ideal for any student of formal epistemology, philosophy of science, metaphysics, or philosophy of mathematics.

The Nature Of Scientific Evidence

Author: Mark L. Taper
Publisher: University of Chicago Press
ISBN: 0226789586
Size: 75.27 MB
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An exploration of the statistical foundations of scientific inference, The Nature of Scientific Evidence asks what constitutes scientific evidence and whether scientific evidence can be quantified statistically. Mark Taper, Subhash Lele, and an esteemed group of contributors explore the relationships among hypotheses, models, data, and inference on which scientific progress rests in an attempt to develop a new quantitative framework for evidence. Informed by interdisciplinary discussions among scientists, philosophers, and statisticians, they propose a new "evidential" approach, which may be more in keeping with the scientific method. The Nature of Scientific Evidence persuasively argues that all scientists should care more about the fine points of statistical philosophy because therein lies the connection between theory and data. Though the book uses ecology as an exemplary science, the interdisciplinary evaluation of the use of statistics in empirical research will be of interest to any reader engaged in the quantification and evaluation of data.

The Philosophy Of Science N Z Index

Author: Sahotra Sarkar
Publisher: Taylor & Francis
ISBN: 9780415977104
Size: 68.19 MB
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The first in-depth reference in the field that combines scientific knowledge with philosophical inquiry, The Philosophy of Science: An Encyclopedia is a two-volume set that brings together an international team of leading scholars to provide over 130 entries on the essential concepts in the philosophy of science. The areas covered include: biology chemistry epistemology and metaphysics physics psychology and mind the social sciences key figures in the combined studies of science and philosophy. The essays represent the most up-to-date philosophical thinking on timeless scientific topics such as: determinism, explanation, laws of nature, perception, individuality, time, and economics as well as timely topics like adaptation, conservation biology, quantum logic, consciousness, evolutionary psychology, and game theory.

The Philosophy Of Quantitative Methods

Author: Brian D. Haig
Publisher: Oxford University Press
ISBN: 0190871725
Size: 50.96 MB
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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 more well-known research methods such as exploratory data analysis, statistical significant testing, Bayesian confirmation theory and statistics, meta-analysis, and exploratory factor analysis. These methods are then examined with a philosophy consistent of scientific realism. In addition, each chapter provides a helpful Further Reading section in order to better assist the reader in extending their own thinking and research methods specific to their needs.

Key Concepts In The Philosophy Of Social Research

Author: Malcolm Williams
Publisher: SAGE
ISBN: 147398758X
Size: 63.13 MB
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“This is a splendid book, providing a readable and reliable guide to a very large range of topics and literature... the author brings together, as few of us can, the details of research methodology and practice with broader philosophical perspectives and approaches.” - William Outhwaite, Emeritus Professor, Newcastle University "We need researchers who are philosophically informed rather than philosophically obsessed or philosophically oppressed. With this book Malcolm Williams strikes the exact balance." - Ray Pawson, Emeritus Professor, University of Leeds This book is an ideal introduction for any student or social researcher hoping to better understand the philosophical issues that inform social research. Williams is the perfect guide providing short focused introductions to key concepts alongside a persuasive and engaging overview of how we interpret and conduct research. The book covers everything from core research methods, to ethical concerns and an exploration of the metaphysics of social life, with each entry providing: Clear definitions Engaging real world examples Up-do-date suggestions for further reading Informative cross-referencing Lists of key thinkers. Relevant and authoritative, this book is an indispensable introduction to the philosophy of social research.

Uncertainty

Author: William Briggs
Publisher: Springer
ISBN: 3319397567
Size: 50.20 MB
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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 has been referred to as the "Cult of Statistical Significance." The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.

Understanding Psychology As A Science

Author: Zoltan Dienes
Publisher: Macmillan International Higher Education
ISBN: 1137096055
Size: 31.98 MB
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What makes psychology a science? What is the logic underlying psychological research? In this groundbreaking book Zoltán Dienes introduces students to key issues in the philosophy of science and statistics that have a direct and vital bearing on the practice of research in psychology. The book is organised around the influential thinkers and conceptual debates which pervade psychological research and teaching but until now have not been made accessible to students. In a clear and fluid style, Dienes takes the reader on a compelling tour of the ideas of: - Popper - Kuhn& Lakatos - Neyman& Pearson - Bayes - Fisher& Royall Featuring examples drawn from extensive teaching experience to ground the ideas firmly in psychological science, the book is an ideal companion to courses and modules in psychological research methods and also to those covering conceptual and historical issues.

An Introduction To The Philosophy Of Science

Author: Kent W. Staley
Publisher: Cambridge University Press
ISBN: 1316094375
Size: 57.49 MB
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This book guides readers by gradual steps through the central concepts and debates in the philosophy of science. Using concrete examples from the history of science, Kent W. Staley shows how seemingly abstract philosophical issues are relevant to important aspects of scientific practice. Structured in two parts, the book first tackles the central concepts of the philosophy of science, such as the problem of induction, falsificationism, and underdetermination, and important figures and movements, such as the logical empiricists, Thomas Kuhn, and Paul Feyerabend. The second part turns to contemporary debates in the philosophy of science, such as scientific realism, explanation, the role of values in science, the different views of scientific inference, and probability. This broad yet detailed overview will give readers a strong grounding whilst also providing opportunities for further exploration. It will be of particular interest to students of philosophy, the philosophy of science, and science.

Logic Of Statistical Inference

Author: Ian Hacking
Publisher: Cambridge University Press
ISBN: 1107144957
Size: 27.28 MB
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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.