03807nam 2200733 a 450 991078540330332120230124190201.01-283-05860-X97866130586070-226-78958-610.7208/9780226789583(CKB)2670000000067042(EBL)648122(OCoLC)695991319(SSID)ssj0000519201(PQKBManifestationID)12179585(PQKBTitleCode)TC0000519201(PQKBWorkID)10494892(PQKB)10721285(SSID)ssj0000471588(PQKBManifestationID)12159912(PQKBTitleCode)TC0000471588(PQKBWorkID)10427936(PQKB)11105925(StDuBDS)EDZ0000113825(MiAaPQ)EBC648122(DE-B1597)523212(OCoLC)1135611154(DE-B1597)9780226789583(Au-PeEL)EBL648122(CaPaEBR)ebr10438639(CaONFJC)MIL305860(EXLCZ)99267000000006704220040213d2004 uy 0engur|n|---|||||txtccrThe nature of scientific evidence[electronic resource] statistical, philosophical and empirical considerations /edited by Mark L. Taper and Subhash R. LeleChicago University of Chicago Press20041 online resource (586 p.)Description based upon print version of record.0-226-78957-8 0-226-78955-1 Includes bibliographical references and index.pt. 1. Scientific process -- pt. 2. Logics of evidence -- pt. 3. Realities of nature -- pt. 4. Science, opinion and evidence -- pt. 5. Models, realities and evidence -- pt. 6. Conclusion.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.ScienceStatistical methodsScienceMethodologyscientific 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.ScienceStatistical methods.ScienceMethodology.507/.2WC 7600SEPArvkTaper Mark L.1952-1498025Lele Subhash308817MiAaPQMiAaPQMiAaPQBOOK9910785403303321The nature of scientific evidence3723402UNINA