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Bayesian modelling of underreported count data:
Dvorzak, Michaela
vignette : https://epub.jku.at/titlepage/urn/urn:nbn:at:at-ubl:1-9208/128. , 2016
Link:
https://resolver.obvsg.at/urn:nbn:at:at-ubl:1-9208
RT Journal T1 <Title>Bayesian modelling of underreported count data</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivlinz:oai:epub.jku.at_:1344647&Exemplar=1&LAN=DE A1 Dvorzak, Michaela YR 2016 K1 Zähldaten K1 Erfassung K1 Unvollständigkeit K1 Bayes-Verfahren K1 Bayes-Entscheidungstheorie K1 Logit-Modell K1 Markov-Ketten-Monte-Carlo-Verfahren K1 bayesianische Statistik K1 logistische Regression K1 Markov Chain Monte Carlo (MCMC) Methoden K1 Pogit Modell K1 Poisson Regression K1 Überdispersion K1 Underreporting K1 Variablenselektion K1 Bayesian inference K1 count data K1 logistic regression K1 Markov chain Monte Carlo (MCMC) methods K1 overdispersion K1 Pogit model K1 variable selection JF vignette : https://epub.jku.at/titlepage/urn/urn:nbn:at:at-ubl:1-9208/128 LK http://dx.doi.org/https://resolver.obvsg.at/urn:nbn:at:at-ubl:1-9208 DO https://resolver.obvsg.at/urn:nbn:at:at-ubl:1-9208 SF ELIB - SuUB Bremen
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