#Statistics made easy pdf how to#

Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus.

#Statistics made easy pdf how to#

The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics. Think Bayes is an introduction to Bayesian statistics using computational methods. There are no particular cultural issues that I could see. I did not find any significant grammatical issues. Scattered throughout the book is also easy to identify and follow. The interface is pleasant and easy to navigate. Read individual chapters and get the key ideas without needing to Style, terminology, and approach throughout.Īfter getting the basics down, it should be easy for the reader to The entire book is written by a single author, using consistent For those wanting a more formal treatment, it would beīetter to look for a more advanced, mathematical treatment. The writing style is somewhat informal, and so clarity will be highįor newbies. Near and probably medium-term future, so the longevity of the book I expect Python to continue to be of interest in the Because the style of theīook is somewhat informal, sometimes there is some lack of precision Generally, the book's coverage is accurate. The book is appropriately comprehensive, covering the basics as wellĪs interesting and important applications of Bayesian methods. Reviewed by Edwin Chong, Professor, Colorado State University on 12/5/16 Journalism, Media Studies & Communications +.