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100   $a20171014h20152015  uy             0
101 0 $aeng
135   $aurmn#---|||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aBayesian methods for statistical analysis /$fby Borek Puza
210  1$aAustralia :$cAustralian National University,$d2015.
210  4$dİ2015
215   $a1 online resource (xvii, 679 pages) $cillustrations, charts; digital, PDF file(s)
311   $a1-921934-25-5 
320   $aIncludes bibliographical references.
330   $aBayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
606   $aBayesian statistical decision theory
615  0$aBayesian statistical decision theory.
676   $a519.542
700   $aPuza$b Borek$0915584
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910136783203321
996   $aBayesian methods for statistical analysis$92052494
997   $aUNINA