000			01572nam a2200445Ia 4500
001			EBC430582
003			MiAaPQ
005			20240120130946.0
006			m o d |
007			cr cn|||||||||
008			060629s2006 enkad sb 001 0 eng d
020			_z9780198568322
020			_z0198568312 (hbk.)
020			_z0198568320 (pbk.)
035			_a(MiAaPQ)EBC430582
035			_a(Au-PeEL)EBL430582
035			_a(CaPaEBR)ebr10229918
035			_a(CaONFJC)MIL134138
035			_a(OCoLC)375017663
040			_aMiAaPQ _cMiAaPQ _dMiAaPQ
050		4	_aQA279.5 _b.S55 2006
100	1		_aSivia, D. S.
245	1	0	_aData analysis _h[electronic resource] : _ba Bayesian tutorial / _cD.S. Sivia with J. Skilling.
250			_a2nd ed.
260			_aOxford : _bOxford University Press, _c2006.
300			_axii, 246 p. : _bill., charts.
490	1		_aOxford science publications
500			_aPrevious ed.: 1996.
504			_aIncludes bibliographical references and index.
533			_aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650		0	_aMaximum entropy method.
650		0	_aMaximum principles (Mathematics)
650		0	_aEngineering mathematics.
650		0	_aScience _xMathematics.
655		4	_aElectronic books.
700	1		_aSkilling, J. _q(John)
710	2		_aProQuest (Firm)
830		0	_aOxford science publications.
856	4	0	_uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=430582 _zClick to View
999			_c41188 _d41188