Doing Bayesian data analysis: a tutorial with R, JAGS, and Stan. Edition/ Format: eBook: Document: English: 2nd EditionView all editions and formats. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, . Doing Bayesian Data Analysis A Tutorial With R And Bugs click here to access This Book: Free Download. EBook: Doing Bayesian Data Analysis A Tutorial.
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Editorial Reviews. Review. "Both textbook and practical guide, this work is an accessible Kindle Store; ›; Kindle eBooks; ›; Science & Math. Read "Doing Bayesian Data Analysis A Tutorial with R, JAGS, and Stan" by John Kruschke available from Rakuten Kobo. Sign up today and get $5 off your first. download Doing Bayesian Data Analysis - 2nd Edition. Print Book & E-Book. eBook ISBN: Imprint: Academic Press.
The text is exceptionally clear and even somewhat addictive, which I was not expecting from a statistics book. I can think of a few reasons for this. First, Kruschke motivates why you should care. For example, one of the canonical examples that he returns to often is coin flipping. Instead of assuming that you care about coin flipping, he explains why -- e.
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Write a review Rate this item: Preview this item Preview this item. Doing Bayesian data analysis: John K Kruschke Publisher: Academic Press, Subjects Bayesian statistical decision theory. Click here for access and availability 0-www. Show all links. Allow this favorite library to be seen by others Keep this favorite library private. Find a copy in the library Finding libraries that hold this item Electronic books Additional Physical Format: Print version: Kruschke, John K.
Doing Bayesian data analysis. Document, Internet resource Document Type: John K Kruschke Find more information about: John K Kruschke. Reviews Editorial reviews. Publisher Synopsis "I think it fills a gaping hole in what is currently available, and will serve to create its own market as researchers and their students transition towards the routine application of Bayesian statistical methods. User-contributed reviews Add a review and share your thoughts with other readers.
Be the first. Add a review and share your thoughts with other readers. Similar Items Related Subjects: R Computer program language Bayes-Entscheidungstheorie R.
Linked Data More info about Linked Data. Primary Entity http: Book , schema: MediaObject , schema: This malformed URI has been treated as a string - 'http: Inferring a binomial probability via exact mathematical analysis; Markov chain Monte Carlo; JAGS; Hierarchical models; Model comparison and hierarchical modeling; Null hypothesis significance testing; Bayesian approaches to testing a point "Null" hypothesis; Goals, power, and sample size; Stan -- Part III The generalized linear model: Overview of the generalized linear model; Metric-predicted variable on one or two groups; Metric predicted variable with one metric predictor; Metric predicted variable with multiple metric predictors; Metric predicted variable with one nominal predictor; Metric predicted variable with multiple nominal predictors; Dichotomous predicted variable; Nominal predicted variable; Ordinal predicted variable; Count predicted variable; Tools in the trunk -- Bibliography -- Index.
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