000			02284nam a22004337a 4500
001			sulb-eb0025459
003			BD-SySUS
005			20160413122527.0
007			cr nn 008mamaa
008			131017s2013 gw | s |||| 0|eng d
020			_a9783642404337 _9978-3-642-40433-7
024	7		_a10.1007/978-3-642-40433-7 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMAT029000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aLongford, Nicholas T. _eauthor.
245	1	0	_aStatistical Decision Theory _h[electronic resource] / _cby Nicholas T. Longford.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aX, 124 p. 23 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Statistics, _x2191-544X
505	0		_aPreface -- 1.Introduction -- 2.Estimating the Mean -- 3.Estimating the Variance -- 4.The Bayesian Paradigm -- 5.Data from other Distributions -- 6.Classification -- 7.Small-area Estimation -- 8.Study Design -- Index.
520			_aThis monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options) associated with the smallest expected loss. Its strength is that the inferences are responsive to the elicited or declared consequences of the erroneous decisions, and so they can be closely tailored to the client’s perspective, priorities, value judgments and other prior information, together with the uncertainty about them.
650		0	_aStatistics.
650	1	4	_aStatistics.
650	2	4	_aStatistics, general.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642404320
830		0	_aSpringerBriefs in Statistics, _x2191-544X
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-40433-7
912			_aZDB-2-SMA
942			_2Dewey Decimal Classification _ceBooks
999			_c47551 _d47551