The nature of scientific evidence [electronic resource] : statistical, philosophical, and empirical considerations / edited by Mark L. Taper and Subhash R. Lele.
Contributor(s): Taper, Mark L | Lele, Subhash.
Material type:
TextPublisher: Chicago : University of Chicago Press, 2004Description: 1 online resource (xviii, 567 p.) : ill.ISBN: 9780226789583 (electronic bk.); 0226789586 (electronic bk.).Subject(s): Science -- Statistical methods | Science -- Methodology | Methodology | Science | Statistical methods | Sciences -- Méthodes statistiques | Sciences -- Méthodologie | SCIENCE -- Research & Methodology | Statistische analyse | Methodologie | Empirische methoden | Filosofische aspecten | Wetenschap | Statistik | Evidenz | Wissenschaftstheorie | Naturwissenschaften | ÖkologieGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Nature of scientific evidence.DDC classification: 507/.2 LOC classification: Q180.55.S7 | N37 2004ebOnline resources: EBSCOhost | Item type | Current location | Call number | URL | Status | Date due | Barcode |
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ეროვნული სამეცნიერო ბიბლიოთეკა 1 | http://web.b.ebscohost.com/ehost/detail/detail?sid=0613674e-78bc-46f8-8f82-01ffe1ba350a%40sessionmgr113&vid=0&hid=115&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#db=nlebk&AN=351290 | Available |
Includes bibliographical references and index.
Foreword; Preface; Part 1: Scientific process; 1. A Brief Tour of Statistical Concepts; 2. Models of Scientific Inquiry and Statistical Practice: Implications for the Structure of Scientific Knowledge; 3. Experiments, Observations, and Other Kinds of Evidence; Part 2: Logics of evidence; 4. An Error-Statistical Philosophy of Evidence; 5. The Likelihood Paradigm for Statistical Evidence; 6. Why Likelihood?; 7. Evidence Functions and the Optimality of the Law of Likelihood; Part 3: Realities of nature; 8. Whole-Ecosystem Experiments: Replication and Arguing from Error.
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, whic.
Description based on print version record.
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