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020 _a9780387922997
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035 _a(OCoLC)ocn310401109
040 _aLC
_bLC
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050 0 0 _aQA279.5
_b.H64 2009
084 _a510
_2sdnb
084 _aMAT 622f
_2stub
084 _aSK 830
_2rvk
100 1 _aHoff, Peter D.
245 1 2 _aA first course in Bayesian statistical methods /
_cPeter D. Hoff.
260 _aLondon ;
_aNew York :
_bSpringer,
_cc2009.
300 _aix, 270 p. :
_bill. ;
_c24 cm.
490 1 _aSpringer texts in statistics
504 _aIncludes bibliographical references (p. [259]-265) and index.
505 0 _aIntroduction and examples -- belief, probability and exchangeability -- One-parameter models -- Monte Carlo approximation -- the normal model -- Posterior approximation with the Gibbs sampler -- the multivariate normal model -- Group comparisons and hierarchical modeling -- Linear regression -- Nonconjugate priors and Metropolis-Hastings algorithms -- Linear and generalized linear mixed effects models -- Latent variable methods for ordinal data.
650 0 _aBayesian statistical decision theory.
650 0 _aSocial sciences
_xStatistical methods.
650 6 _aStatistique bayƩsienne.
650 1 7 _aMethode van Bayes.
_2gtt
650 0 7 _aBayes-Verfahren.
_2swd
830 0 _aSpringer texts in statistics.
856 4 1 _3Table of contents
_uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017329585&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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