The Structure Of Scientific Inference PDF Download
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Author | : Mary Hesse |
Publisher | : Univ of California Press |
Total Pages | : 318 |
Release | : 2022-05-13 |
Genre | : Science |
ISBN | : 0520359879 |
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This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1974.
Author | : Mary B. Hesse |
Publisher | : |
Total Pages | : 309 |
Release | : 1974 |
Genre | : Knowledge, Theory Of |
ISBN | : |
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Author | : Mary B. Hesse |
Publisher | : |
Total Pages | : 309 |
Release | : 1974 |
Genre | : Knowledge, Theory of |
ISBN | : 9780333150702 |
Download The Structure of Scientific Inference Book in PDF, ePub and Kindle
Author | : Mary Hesse |
Publisher | : Univ of California Press |
Total Pages | : 318 |
Release | : 2023-11-10 |
Genre | : Science |
ISBN | : 0520313313 |
Download The Structure of Scientific Inference Book in PDF, ePub and Kindle
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1974.
Author | : Wesley Salmon |
Publisher | : University of Pittsburgh Pre |
Total Pages | : 170 |
Release | : 1967-09 |
Genre | : Philosophy |
ISBN | : 0822971259 |
Download The Foundations of Scientific Inference Book in PDF, ePub and Kindle
Not since Ernest Nagel’s 1939 monograph on the theory of probability has there been a comprehensive elementary survey of the philosophical problems of probablity and induction. This is an authoritative and up-to-date treatment of the subject, and yet it is relatively brief and nontechnical. Hume’s skeptical arguments regarding the justification of induction are taken as a point of departure, and a variety of traditional and contemporary ways of dealing with this problem are considered. The author then sets forth his own criteria of adequacy for interpretations of probability. Utilizing these criteria he analyzes contemporary theories of probability, as well as the older classical and subjective interpretations.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 115 |
Release | : 2017-03-24 |
Genre | : Mathematics |
ISBN | : 0309454441 |
Download Refining the Concept of Scientific Inference When Working with Big Data Book in PDF, ePub and Kindle
The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013). Without careful consideration of the suitability of both available data and the statistical models applied, analysis of big data may result in misleading correlations and false discoveries, which can potentially undermine confidence in scientific research if the results are not reproducible. In June 2016 the National Academies of Sciences, Engineering, and Medicine convened a workshop to examine critical challenges and opportunities in performing scientific inference reliably when working with big data. Participants explored new methodologic developments that hold significant promise and potential research program areas for the future. This publication summarizes the presentations and discussions from the workshop.
Author | : Harold Jeffreys |
Publisher | : Read Books Ltd |
Total Pages | : 263 |
Release | : 2011-11-18 |
Genre | : Science |
ISBN | : 1447494784 |
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Originally published in 1931. The present work had its beginnings in a series of papers published jointly some years ago by Dr Dorothy Wrinch and myself. Both before and since that time several books purporting to give analyses of the principles of scientific inquiry have appeared, but it seems to me that none of them gives adequate attention to the chief guiding principle of both scientific and everyday knowledge that it is possible to learn from experience and to make inferences from it beyond the data directly known by sensation. Discussions from the philosophical and logical point of view have tended to the conclusion that this principle cannot be justified by logic alone, which is true, and have left it at that. In discussions by physicists, on the other hand, it hardly seems to be noticed that such a principle exists. In the present work the principle is frankly adopted as a primitive postulate and its consequences are developed. It is found to lead to an explanation and a justification of the high probabilities attached in practice to simple quantitative laws, and thereby to a recasting of the processes involved in description. As illustrations of the actual relations of scientific laws to experience it is shown how the sciences of mensuration and dynamics may be developed. I have been stimulated to an interest in the subject myself on account of the fact that in my work in the subjects of cosmogony and geophysics it has habitually been necessary to apply physical laws far beyond their original range of verification in both time and distance, and the problems involved in such extrapolation have therefore always been prominent. This is a high quality digital version of the original title, thus a few of the images may be slightly blurred and difficult to read.
Author | : Wesley C. Salmon |
Publisher | : |
Total Pages | : 157 |
Release | : 1966 |
Genre | : Science |
ISBN | : |
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Author | : Jennifer Trusted |
Publisher | : MacMillan Publishing Company |
Total Pages | : 168 |
Release | : 1979 |
Genre | : Philosophy |
ISBN | : |
Download The Logic of Scientific Inference Book in PDF, ePub and Kindle
Author | : Wesley C. Salmon |
Publisher | : University of Pittsburgh Press |
Total Pages | : 298 |
Release | : 2017-07-14 |
Genre | : Science |
ISBN | : 0822982943 |
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After its publication in 1967, The Foundations of Scientific Inference taught a generation of students and researchers about the problem of induction, the interpretation of probability, and confirmation theory. Fifty years later, Wesley C. Salmon’s book remains one of the clearest introductions to these fundamental problems in the philosophy of science. With The Foundations of Scientific Inference, Salmon presented a coherent vision of the nature of scientific reasoning, explored the philosophical underpinnings of scientific investigation, and introduced readers to key movements in epistemology and to leading philosophers of the twentieth century—such as Karl Popper, Rudolf Carnap, and Hans Reichenbach—offering a critical assessment and developing his own distinctive views on topics that are still of central importance today. This anniversary edition of Salmon’s foundational work in the philosophy of science features a detailed introduction by Christopher Hitchcock, which examines the book’s origins, influences, and major themes, its impact and enduring effects, the disputes it raised, and its place in current studies, revisiting Salmon’s ideas for a new audience of philosophers, historians, scientists, and students.