000			02136cam a2200349 a 4500
001			14461093
003			UoK
005			20180911144820.0
008			060720s2006 enka b 001 0 eng
010			_a 2006023990
020			_a0470018755 (cloth : alk. paper)
020			_a9780470018750 (cloth : alk. paper)
035			_a(OCoLC)ocm70673258
040			_aDLC _cDLC _dBAKER _dBWKUK _dYDXCP _dYDX _dDLC
050	0	0	_aQA279.5 _b.C65 2006
082	0	0	_a519.5/42 _222
100	1		_aCongdon, P.
245	1	0	_aBayesian statistical modelling / _cPeter Congdon.
250			_a2nd ed.
260			_aChichester, England ; _aHoboken, NJ : _bJohn Wiley & Sons, _cc2006.
300			_axi, 573 p. : _bill. ; _c25 cm.
440		0	_aWiley series in probability and statistics
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction : the Bayesian method, its benefits and implementation -- Bayesian model choice, comparison and checking -- The major densities and their application -- Normal linear regression, general linear models and log-linear models -- Hierarchical priors for pooling strength and overdispersed regression modelling -- Discrete mixture priors -- Multinomial and ordinal regression models -- Time series models -- Modelling spatial dependencies -- Nonlinear and nonparametric regression -- Multilevel and panel data models -- Latent variable and structural equation models for multivariate data -- Survival and event history analysis -- Missing data models -- Measurement error, seemingly unrelated regressions, and simultaneous eqations.
650		0	_aBayesian statistical decision theory.
856	4	1	_3Table of contents only _uhttp://www.loc.gov/catdir/toc/ecip0617/2006023990.html
856	4	2	_3Contributor biographical information _uhttp://www.loc.gov/catdir/enhancements/fy0826/2006023990-b.html
856	4	2	_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy0826/2006023990-d.html
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cLL
999			_c329 _d329