000			02654nam a2200385 i 4500
001			CR9781139046671
003			UkCbUP
005			20240905183137.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110304s2016||||enk o ||1 0|eng|d
020			_a9781139046671 (ebook)
020			_z9780521861601 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA277.5 _b.S39 2016
082	0	0	_a519.2 _223
100	1		_aSchweder, Tore, _eauthor.
245	1	0	_aConfidence, likelihood, probability : _bstatistical inference with confidence distributions / _cTore Schweder, University of Oslo, Nils Lid Hjort, University of Oslo.
264		1	_aCambridge : _bCambridge University Press, _c2016.
300			_a1 online resource (xx, 500 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aCambridge series in statistical and probabilistic mathematics ; _v41
500			_aTitle from publisher's bibliographic system (viewed on 08 Mar 2016).
520			_aThis lively book lays out a methodology of confidence distributions and puts them through their paces. Among other merits, they lead to optimal combinations of confidence from different sources of information, and they can make complex models amenable to objective and indeed prior-free analysis for less subjectively inclined statisticians. The generous mixture of theory, illustrations, applications and exercises is suitable for statisticians at all levels of experience, as well as for data-oriented scientists. Some confidence distributions are less dispersed than their competitors. This concept leads to a theory of risk functions and comparisons for distributions of confidence. Neyman-Pearson type theorems leading to optimal confidence are developed and richly illustrated. Exact and optimal confidence distribution is the gold standard for inferred epistemic distributions. Confidence distributions and likelihood functions are intertwined, allowing prior distributions to be made part of the likelihood. Meta-analysis in likelihood terms is developed and taken beyond traditional methods, suiting it in particular to combining information across diverse data sources.
650		0	_aObserved confidence levels (Statistics)
650		0	_aMathematical statistics.
650		0	_aProbabilities.
700	1		_aHjort, Nils Lid, _eauthor.
776	0	8	_iPrint version: _z9780521861601
830		0	_aCambridge series in statistical and probabilistic mathematics ; _v41.
856	4	0	_uhttps://doi.org/10.1017/CBO9781139046671
942			_2ddc _cEB
999			_c8850 _d8850