03466nam a22004215i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137040000900172082001400181100002900195245008500224264004600309300003200355336002600387337002600413338003900439347002400478490005100502505056700553520145501120650001602575650002902591650001602620650003602636710003402672773002002706776003602726830005102762856010302813942001202916999001702928952009902945978-0-387-40054-9DE-He21320260521091916.0cr nn 008mamaa100301s2007    xxu|    s    |||| 0|eng d  a9780387400549  a997803874005497 a10.1007/978-0-387-40054-92doi  cCICY04a519.52231 aThompson, Bill.eauthor.14aThe Nature of Statistical Evidenceh[recurso electrónico] /cby Bill Thompson. 1aNew York, NY :bSpringer New York,c2007.  aX, 152 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  arecurso en líneabcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Statistics,x0930-0325 ;v1890 aOverview -- Overview -- The Context -- Mathematics and Its Applications -- The Evolution of Natural Scientists and Their Theories -- Law and Learning -- Interpreting Probability -- to Probability -- The Fair Betting Utility Interpretation of Probability -- Attitudes Toward Chance -- Statistical Models of Induction -- A Framework for Statistical Evidence -- A Critique of Bayesian Inference -- The Long-Run Consequence of Behavior -- A Critique of p-Values -- The Nature of Statistical Evidence -- The Science of Statistics -- Comparison of Evidential Theories.  aThe purpose of this book is to discuss whether statistical methods make sense. That is a fair question, at the heart of the statistician-client relationship, but put so boldly it may arouse anger. The many books entitled something like Foundations of Statistics avoid controversy by merely describing the various methods without explaining why certain conclusions may be drawn from certain data. But we statisticians need a better answer then just shouting a little louder. To avoid a duel, we prejudge the issue and ask the narrower question: "In what sense do statistical methods provide scientific evidence?" The present volume begins the task of providing interpretations and explanations of several theories of statistical evidence. It should be relevant to anyone interested in the logic of experimental science. Have we achieved a true Foundation of Statistics? We have made the link with one widely accepted view of science and we have explained the senses in which Bayesian statistics and p-values allow us to draw conclusions. Bill Thompson is Professor emeritus of Statistics at the University of Missouri-Columbia. He has had practical affiliations with the National Bureau of Standards, E.I. Dupont, the U.S. Army Air Defense Board, and Oak Ridge National Laboratories. He is a fellow of the American Statistical Association and has served as associate editor of the journal of that society. He has authored the book Applied Probability. 0aSTATISTICS. 0aMATHEMATICAL STATISTICS.14aSTATISTICS.24aSTATISTICAL THEORY AND METHODS.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780387400501 0aLecture Notes in Statistics,x0930-0325 ;v18940uhttp://dx.doi.org/10.1007/978-0-387-40054-9zVer el texto completo en las instalaciones del CICY  2ddccER  c33583d33583  00102ddc40708LEaCICYbCICYcELd2025-07-10l0o519.5r2025-07-10 08:39:59w2025-07-10yER