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001			84050890 //r94
003			AE-DuAU
005			20241127164409.0
008			050915s1984 caua b 00010 eng
010			_a 84050890 //r94
020			_a0803923287 : _c14.95
040			_aDLC _cDLC _dDLC
050	0	0	_aQA279.5 _b.I94 1984
069			_a03407590
090			_aQA 279.5 .I94 1984
090			_aQA 279.5 .I94 1984
100	1		_aIversen, Gudmund R. _974100
245	1	0	_aBayesian statistical inference / _cGudmund R. Iversen.
260			_aBeverly Hills : _bSage Publications, _cc1984.
300			_a80 p. : _bill. ; _c22 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
440		0	_aSage university papers series. _pQuantitative applications in the social sciences ; _vno. 07-043 _974101
504			_aBibliography: p. 78-79.
520		0	_aEmpirical researchers, for whom Iversen's volume provides an introduction, have generally lacked a grounding in the methodology of Bayesian inference. As a result, applications are few. After outlining the limitations of classical statistical inference, the author proceeds through a simple example to explain Bayes' theorem and how it may overcome these limitations. Typical Bayesian applications are shown, together with the strengths and weaknesses of the Bayesian approach. This monograph thus serves as a companion volume for Henkel's Tests of Significance (QASS vol 4).
650		0	_aBayesian statistical decision theory. _974102
852			_9p14.95 _y09-14-2002
907			_a13470 _b08-06-10 _c08-06-10
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998			_aaudmc _b09-14-02 _cm _da _e- _feng _gcau _h0
935			_aPO10329-GEN3
945			_g0 _i631085 _j0 _laudmc _nCopy Type:01 - Books _o- _p54.94 _q- _r- _s- _t1 _u0 _v0 _w0 _x0 _yi10190284 _z08-06-10
999			_c13470 _d13470