000			01459nam a2200229Ia 4500
008			111015s2006 ph 000 0 eng
020			_a9780470018750
040			_cMANILA TYTANA COLLEGES LIBRARY
090			_aCIR QA 279.5 C66 2006
100	1		_aCongdon, Peter.
245	1	0	_aBayesian statistical modelling / _cPeter Congdon.
250			_a2nd ed.
260			_aChichester : _bJohn Wiley & Sons, _c2006.
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.
942			_2lcc _cBK
001			111015145031469
998			_c12850 _d71213
999			_c12850 _d12850