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dc.contributor.authorPuza, Borek
dc.date.accessioned2016-06-23 00:00:00
dc.date.accessioned2020-04-01T14:10:01Z
dc.date.available2020-04-01T14:10:01Z
dc.date.issued2015
dc.identifier611011
dc.identifierOCN: 1076716258en_US
dc.identifier.urihttp://library.oapen.org/handle/20.500.12657/32424
dc.description.abstractBayesian 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematicsen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statisticsen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inferenceen_US
dc.subject.otherstatistics
dc.subject.othermathematics
dc.subject.otherbayesian inference
dc.subject.otherprobability
dc.subject.otherAlgorithm
dc.subject.otherConfidence interval
dc.subject.otherHistogram
dc.subject.otherMonte Carlo method
dc.subject.otherPosterior probability
dc.subject.otherSampling (statistics)
dc.subject.otherWinBUGS
dc.titleBayesian Methods for Statistical Analysis
dc.typebook
oapen.identifier.doi10.26530/OAPEN_611011
oapen.relation.isPublishedByddc8cc3f-dd57-40ef-b8d5-06f839686b71
oapen.relation.isbn9781921934254
oapen.remark.publicRelevant Wikipedia pages: Algorithm - https://en.wikipedia.org/wiki/Algorithm; Bayesian inference - https://en.wikipedia.org/wiki/Bayesian_inference; Confidence interval - https://en.wikipedia.org/wiki/Confidence_interval; Histogram - https://en.wikipedia.org/wiki/Histogram; Monte Carlo method - https://en.wikipedia.org/wiki/Monte_Carlo_method; Posterior probability - https://en.wikipedia.org/wiki/Posterior_probability; Probability - https://en.wikipedia.org/wiki/Probability; Sampling (statistics) - https://en.wikipedia.org/wiki/Sampling_(statistics); WinBUGS - https://en.wikipedia.org/wiki/WinBUGS
oapen.identifier.ocn1076716258


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