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|a The Nature of Scientific Evidence :
|b Statistical, Philosophical, and Empirical Considerations /
|c ed. by Mark L. Taper, Subhash R. Lele.
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|a Chicago :
|b University of Chicago Press,
|c [2010]
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|c ©2004
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|a 1 online resource (448 p.) :
|b 25 line drawings, 6 tables
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|a text
|b txt
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|a online resource
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|t Frontmatter --
|t Contents --
|t Foreword --
|t Preface --
|t Part 1. Scientific Process. Overview --
|t 1. A Brief Tour of Statistical Concepts --
|t 2. Models of Scientific Inquiry and Statistical Practice: Implications for the Structure of Scientific Knowledge --
|t 2.1 Commentary --
|t 2.2 Commentary --
|t 2.3 Rejoinder --
|t 3. Experiments, Observations, and Other Kinds of Evidence --
|t 3.1 Commentary --
|t 3.2 Commentary --
|t 3.3 Rejoinder --
|t Part 2. Logics of Evidence --
|t 4. An Error-Statistical Philosophy of Evidence --
|t 4.1 Commentary --
|t 4.2 Commentary --
|t 4.3 Rejoinder --
|t 5. The Likelihood Paradigm for Statistical Evidence --
|t 5.1 Commentary --
|t 5.2 Commentary --
|t 5.3 Rejoinder --
|t 6. Why Likelihood? --
|t 6.1 Commentary --
|t 6.2 Commentary --
|t 6.3 Rejoinder --
|t 7. Evidence Functions and the Optimality of the Law of Likelihood --
|t 7.1 Commentary --
|t 7.2 Commentary --
|t 7.3 Rejoinder --
|t Part 3. Realities of Nature --
|t 8. Whole-Ecosystem Experiments: Replication and Arguing from Error --
|t 8.1 Commentary --
|t 8.2 Commentary --
|t 8.3 Rejoinder --
|t 9. Dynamical Models as Paths to Evidence in Ecology --
|t 9.1 Commentary --
|t 9.2 Commentary --
|t 9.3 Rejoinder --
|t 10. Constraints on Negative Relationships: Mathematical Causes and Ecological Consequences --
|t 10.1 Commentary --
|t 10.2 Commentary --
|t 10.3 Rejoinder --
|t Part 4. Science, Opinion, and Evidence --
|t 11. Statistics and the Scientific Method in Ecology --
|t 11.1 Commentary --
|t 11.2 Commentary --
|t 11.3 Rejoinder --
|t 12. Taking the Prior Seriously: Bayesian Analysis without Subjective Probability --
|t 12.1 Commentary --
|t 12.2 Rejoinder --
|t 13. Elicit Data, Not Prior: On Using Expert Opinion in Ecological Studies --
|t 13.1 Commentary --
|t 13.2 Commentary --
|t 13.3 Rejoinder --
|t Part 5. Models, Realities, and Evidence --
|t 14. Statistical Distances as Loss Functions in Assessing Model Adequacy --
|t 14.1 Commentary --
|t 14.2 Commentary --
|t 14.3 Rejoinder --
|t 15. Model Identification from Many Candidates --
|t 15.1 Commentary --
|t 15.2 Commentary --
|t 15.3 Rejoinder --
|t Part 6. Conclusion --
|t 16. The Nature of Scientific Evidence: A Forward-Looking Synthesis --
|t Contributors --
|t Index
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|a restricted access
|u http://purl.org/coar/access_right/c_16ec
|f online access with authorization
|2 star
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|a 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.
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|a Mode of access: Internet via World Wide Web.
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|a In English.
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|a Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Jun 2022)
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|a SCIENCE / General.
|2 bisacsh
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|a scientific evidence, data, statistics, quantifiable, hypotheses, models, inference, methodology, inquiry, research, ecology, experiment, observations, likelihood, replication, ecosystem, science, nonfiction, opinion, subjective probability, bayesian analysis, model adequacy, expertise, scholarship, academia, technology, simulation.
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|a Lele, Subhash R.,
|e editor.
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|i Title is part of eBook package:
|d De Gruyter
|t University of Chicago Press eBook-Package Backlist 2000-2013
|z 9783110635386
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|c print
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