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Philosophy of Statistics

Philosophy of Statistics
Author:
Publisher: Elsevier
Total Pages: 1260
Release: 2011-05-31
Genre: Philosophy
ISBN: 9780080930961

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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


Statistical Inference as Severe Testing

Statistical Inference as Severe Testing
Author: Deborah G. Mayo
Publisher: Cambridge University Press
Total Pages: 503
Release: 2018-09-20
Genre: Mathematics
ISBN: 1108563309

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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.


Philosophy of Probability and Statistical Modelling

Philosophy of Probability and Statistical Modelling
Author: Mauricio Suárez
Publisher: Cambridge University Press
Total Pages:
Release: 2021-01-21
Genre: Philosophy
ISBN: 1108983847

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This Element has two main aims. The first one (sections 1-7) is an historically informed review of the philosophy of probability. It describes recent historiography, lays out the distinction between subjective and objective notions, and concludes by applying the historical lessons to the main interpretations of probability. The second aim (sections 8-13) focuses entirely on objective probability, and advances a number of novel theses regarding its role in scientific practice. A distinction is drawn between traditional attempts to interpret chance, and a novel methodological study of its application. A radical form of pluralism is then introduced, advocating a tripartite distinction between propensities, probabilities and frequencies. Finally, a distinction is drawn between two different applications of chance in statistical modelling which, it is argued, vindicates the overall methodological approach. The ensuing conception of objective probability in practice is the 'complex nexus of chance'.


The Philosophy of Quantitative Methods

The Philosophy of Quantitative Methods
Author: Brian D. Haig
Publisher: Oxford University Press
Total Pages: 169
Release: 2018
Genre: Psychology
ISBN: 0190222050

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"This book undertakes a philosophical examination of a number of important quantitative research methods in the behavioral sciences, in order to overcome the shallow and uncritical understanding that is typically provided by textbooks. The methods are: exploratory data analysis, statistical significance testing, Bayesian confirmation theory and statistics, meta-analysis, and exploratory factor analysis. Further readings are provided to extend the readers' understanding"--


RESEARCH ON STATISTICAL PHILOSOPHY

RESEARCH ON STATISTICAL PHILOSOPHY
Author: ZHENLONG WANG
Publisher: American Academic Press
Total Pages: 224
Release: 2023-11-21
Genre: Philosophy
ISBN: 1631814400

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Based on the cornerstone of philosophy, this book examines the essence of statistics, cognitive system and its functions, method background, logical thinking, and other basic issues from a philosophical point of view. The philosophical significance of statistics is explored and studied.


The Philosophy of Quantitative Methods

The Philosophy of Quantitative Methods
Author: Brian D. Haig
Publisher: Oxford University Press
Total Pages:
Release: 2018-01-04
Genre: Psychology
ISBN: 0190222069

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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.


The Nature of Scientific Evidence

The Nature of Scientific Evidence
Author: Mark L. Taper
Publisher:
Total Pages: 600
Release: 2004-10
Genre: Mathematics
ISBN:

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Mark Taper, Subhash Lele and an esteemed group of contributors explore the relationships among hypotheses, models, data and interference on which scientific progress rests in an attempt to develop a new quantitative framework for evidence.


Philosophy of Molecular Medicine

Philosophy of Molecular Medicine
Author: Giovanni Boniolo
Publisher: Taylor & Francis
Total Pages: 288
Release: 2016-11-18
Genre: Philosophy
ISBN: 1317378350

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Philosophy of Molecular Medicine: Foundational Issues in Theory and Practice aims at a systematic investigation of a number of foundational issues in the field of molecular medicine. The volume is organized around four broad modules focusing, respectively, on the following key aspects: What are the nature, scope, and limits of molecular medicine? How does it provide explanations? How does it represent and model phenomena of interest? How does it infer new knowledge from data and experiments? The essays collected here, authored by prominent scientists and philosophers of science, focus on a handful of mainstream topics in the philosophical literature, such as causation, explanation, modeling, and scientific inference. These previously unpublished contributions shed new light on these traditional topics by integrating them with problems, methods, and results from three prominent areas of contemporary biomedical science: basic research, translational and clinical research, and clinical practice.


Foundations and Philosophy of Epistemic Applications of Probability Theory

Foundations and Philosophy of Epistemic Applications of Probability Theory
Author: W.L. Harper
Publisher: Springer Science & Business Media
Total Pages: 334
Release: 1976
Genre: Gardening
ISBN: 9789027706171

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


The Nature of Scientific Evidence

The Nature of Scientific Evidence
Author: Mark L. Taper
Publisher: University of Chicago Press
Total Pages: 586
Release: 2010-12-15
Genre: Science
ISBN: 0226789586

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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.