The Structure of Scientific Inference

The Structure of Scientific Inference
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.

The Structure of Scientific Inference

The Structure of Scientific Inference
Author: Mary B. Hesse
Publisher:
Total Pages: 309
Release: 1974
Genre: Knowledge, Theory of
ISBN: 9780333150702

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The Structure of Scientific Inference

The Structure of Scientific Inference
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.

The Foundations of Scientific Inference

The Foundations of Scientific Inference
Author: Wesley Salmon
Publisher: University of Pittsburgh Pre
Total Pages: 170
Release: 1967-09
Genre: Philosophy
ISBN: 0822971259

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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.

Refining the Concept of Scientific Inference When Working with Big Data

Refining the Concept of Scientific Inference When Working with Big Data
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 115
Release: 2017-03-24
Genre: Mathematics
ISBN: 0309454441

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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.

Scientific Inference

Scientific Inference
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.

The Logic of Scientific Inference

The Logic of Scientific Inference
Author: Jennifer Trusted
Publisher: MacMillan Publishing Company
Total Pages: 168
Release: 1979
Genre: Philosophy
ISBN:

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Statistical Inference in Science

Statistical Inference in Science
Author: D.A. Sprott
Publisher: Springer Science & Business Media
Total Pages: 254
Release: 2000-06-22
Genre: Mathematics
ISBN: 0387950192

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A treatment of the problems of inference associated with experiments in science, with the emphasis on techniques for dividing the sample information into various parts, such that the diverse problems of inference that arise from repeatable experiments may be addressed. A particularly valuable feature is the large number of practical examples, many of which use data taken from experiments published in various scientific journals. This book evolved from the authors own courses on statistical inference, and assumes an introductory course in probability, including the calculation and manipulation of probability functions and density functions, transformation of variables and the use of Jacobians. While this is a suitable text book for advanced undergraduate, Masters, and Ph.D. statistics students, it may also be used as a reference book.