If you need a break from the statistical books with lots of math I recommend the book The Lady Tasting Tea, by David Salsburg.
The book is a easy fun reading on the history of statistics, but it does not have the intention to go into too much details or to cover everything or even to be linear in time. It is a book especially good for those of us for whom many names are already familiar, but we don't really know that much about them. To use the words of a review I read in the Amazon website, a not very pleased one, the book is a little like a collection tales that our grandfather tells us. And sometimes that is what we need.
Besides, as I said, we are always working in our daily job with names that becomes familiar but we actually don't know much about them. Like Pearson Correlation, Kolmogorov-Smirnov test, Fisher's exact test, Neyman-Pearson hypothesis test and so on. I thought the book is very good on covering these important names in a joyful way. As an example, I found the story of Student, from the t-student distribution, very interesting.
Good reading!
No comments:
Post a Comment