Top positive review
Seriously, the best book to start and end.
Reviewed in the United States on April 22, 2019
Seeing people commenting on this book, and either saying it is hard to read or something is missing. Honestly, every author has a point to start, and has a unique scope of knowledge. Currently, his book is probably the most encyclopedic in the field of statistical testing. Probably you will find it hard to read, but yes I admit that, reading it was and will always be a pain. Balancing between the idea in statistical decision theory and the details is hard, especially the audience of this book is not even professional statistical workers. Only when you need to dig deep into the theoretical development of statistics, this has no use to you, even if you are a faculty member teaching or researching in data science field.
Reading through the books after you learn the topic will make you feel the beauty and the idea lies behind the statistics. I remembered when I read the first few sections of chapter 3 over 20 times when I learn this topic. It's hard, but precise, and I don't know if anyone else could explain it any better. So this book deserves your endeavor, not only your passion.
Finally, as other people said, not too much detail, and some topics, are missing. However, to my belief, the topics included represents the history, that's when they actually put statistical testing into great use, and these are the topics that has been thoroughly discussed and studied. So maybe that's why it is a little outdated. But classic is always classic. And undoubtedly the best book to read.