March 2018
Beginner to intermediate
570 pages
13h 42m
English
Content preview from Data Analysis with R, Second Edition - Second Edition
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Fitting distributions the Bayesian way
In this next example, we are going to be fitting a normal distribution to the precipitation dataset that we worked with in the previous chapter. We will wrap up with Bayesian analogue to the one sample t-test.
The results we want from this analysis are credible values of the true population mean of the precipitation data. Refer back to the previous chapter to recall that the sample mean was 34.89. In addition, we will also be determining credible values of the standard deviation of the precipitation data. Since we are interested in the credible values of two parameters, our posterior distribution is a joint distribution.
Our model will look a little differently now:
the.model <- " model { mu ~ dunif(0, ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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