000			03374nam a22004215i 4500
001			978-0-387-40054-9
003			DE-He213
005			20161121231122.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387400549 _9978-0-387-40054-9
024	7		_a10.1007/978-0-387-40054-9 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMAT029000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aThompson, Bill. _eauthor.
245	1	4	_aThe Nature of Statistical Evidence _h[electronic resource] / _cby Bill Thompson.
264		1	_aNew York, NY : _bSpringer New York, _c2007.
300			_aX, 152 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Statistics, _x0930-0325 ; _v189
505	0		_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.
520			_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.
650		0	_aStatistics.
650	1	4	_aStatistics.
650	2	4	_aStatistical Theory and Methods.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387400501
830		0	_aLecture Notes in Statistics, _x0930-0325 ; _v189
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-40054-9
912			_aZDB-2-SMA
950			_aMathematics and Statistics (Springer-11649)
999			_c508864 _d508864