Closed omseeth closed 1 year ago
In Section 1.7, equation introduced with "Writing the θ values and their probabilities, we get:" two of the exponents for θ values of 0.5 and 0.9 change from 7 to 8 in the second step, I think this might be a typo.
I should add another typo in section 1.6, second paragraph :
what a bivariate (or more generally, multivariate) distribution is.
(instead of distriution)
Thanks both. All corrections have now been made and will show up the next time the web page is compiled.
Typos spotted in the Preface + Chap 1:
Section: Who is this book for? [1]“R for data sciencace“ -> should probably be science
Section: Software needed [2]“install.packages(c("dplyr","purrr","tidyr", "extraDistr", "brms","hypr","lme4“)“ -> missing final bracket
Section 1.4.1 [3]“In real experimental situations we never know“ -> missing comma
Section 1.5. [4]“its standard devation“ -> should probably be deviation
Here are few thoughts on chapter 1:
Section 1.4:
[1] It’s not entirely clear from the following sentence „When the number of trials is one, the random variable is said to have a Bernoulli distribution.“ why it is a Bernoulli distribution. A further explanation could be helpful.
[2] In one paragraph you speak of "In the above example, with n = 10 trials“ while the example with rbinom had n = 20 and a sample size of 10. I find this a bit confusing.
Section 1.7
[3] After reading this section, we know how to integrate out a binomial distribution. We also know that this will be important for the following chapters / handling Bayesian statistics. But as a curious reader, I wonder at this stage of the text if this method/concept only works for the binomial distribution. It’s neither entirely clear how we can interpret the final figure (0.0909) in the given example.