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book: The Nature of Scientific Evidence
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The Nature of Scientific Evidence

Statistical, Philosophical, and Empirical Considerations
  • Edited by: Mark L. Taper and Subhash R. Lele
Language: English
Published/Copyright: 2004
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About this book

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.

Author / Editor information

Mark L. Taper is an associate professor in the Department of Ecology at Montana State University. Subhash R. Lele is a professor in the Department of Mathematics and Statistical Sciences at the University of Alberta.

Reviews

"The book is a rare find: a source that could be used in graduate seminars in statistics, philosophy, or biology....It is brimming with ideas....It deserves a read by everyone."
— Marc Mangel, Science

"This is a challenging, stimulating, and important book Although some of the chapters are not for the statistically naive, all are thorough and provocative....The Nature of Scientific Evidence should be read by all ecologists who interpret data as evidence for or against specific hypotheses."— Gerry Quinn, Trends in Ecology and Evolution

"The Nature of Scientific Evidence may well be viewed as a landmark publication in years to come, one that was the precursor to a new set of statistical methodologies based on evidence and likelihood. . . . We unreservedly recommend it to every ecologist wanting to understand more about the relationship between logic, evidence, analysis and inference – which, after all, constitutes the essence of the scientific method."
— Graeme Hastwell and S. Raghu, Austral Ecology

"The book is important not because of its specific content, but because of what it represents: a cross-disciplinary dialogue that addresses key issues in data analysis."
— Nicholas J. Gotelli, Ecoscience

"It is precisely because this nicely and carefully edited book will provide more questions than answers that it deserves to be read and discussed by the wide audience of statisticians, philosophers of science, and scientists to whom it addresses the important problem of the evaluation of scientific evidence."
— Pablo Inchausti, Quarterly Review of Biology

"This volume is a wonderful guide helping ecologists to understand many of the statistical nuances as well as an introduction to some deep-rooted methodological and philosophical issues in data analysis. . . . An important and necessary discussion that ecologists need to have."
— Marc W. Cadotte, Biodiversity Conservation

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  • Part 1. Scientific Process. Overview
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  • 2. Models of Scientific Inquiry and Statistical Practice: Implications for the Structure of Scientific Knowledge
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  • 3. Experiments, Observations, and Other Kinds of Evidence
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  • Part 2. Logics of Evidence
  • 4. An Error-Statistical Philosophy of Evidence
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  • 5. The Likelihood Paradigm for Statistical Evidence
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  • 6. Why Likelihood?
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  • 7. Evidence Functions and the Optimality of the Law of Likelihood
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  • Part 3. Realities of Nature
  • 8. Whole-Ecosystem Experiments: Replication and Arguing from Error
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  • 9. Dynamical Models as Paths to Evidence in Ecology
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  • 10. Constraints on Negative Relationships: Mathematical Causes and Ecological Consequences
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  • Part 4. Science, Opinion, and Evidence
  • 11. Statistics and the Scientific Method in Ecology
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  • 12. Taking the Prior Seriously: Bayesian Analysis without Subjective Probability
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  • 13. Elicit Data, Not Prior: On Using Expert Opinion in Ecological Studies
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  • Part 5. Models, Realities, and Evidence
  • 14. Statistical Distances as Loss Functions in Assessing Model Adequacy
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  • 15. Model Identification from Many Candidates
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  • Part 6. Conclusion
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
December 15, 2010
eBook ISBN:
9780226789583
Pages and Images/Illustrations in book
Main content:
448
Other:
25 line drawings, 6 tables
Downloaded on 27.2.2026 from https://www.degruyterbrill.com/document/doi/10.7208/9780226789583/html
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