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I am very satisfied with the purchase. Delivered very fast. About the book, I should say that if you are a statistician, I think it is a must-read book for you. It has past, present and almost future of Statistics that you must know.
This book is a must have for mathematically sophisticated readers wanting to expand their knowledge of traditional statistical inference techniques as well as inference done by machine learning.
I say mathematically sophisticated because the book is full of equations, derivations and theorems. The authors state that their intended audience is beginning graduate students and they have matched that intended level of mathematical expertise. The book is not then for those from a non-STEM background desiring a better understanding of these methods.
If I had to make a criticism it is that the authors cover so much of the landscape of statistical inference they are forced to be rather terse. Because of this, I had difficulty understanding those techniques where I didn't have any prior experience. But that will vary from reader to reader depending on their statistical expertise. Some may find the brief summaries not sophisticated enough.
In short, Computer Age Statistical Inference does a masterful job of linking the traditional inference techniques of Fisher and Neyman to modern machine learning all the while showing their similarities and differences. For those working in these disciplines and wanting to have a mathematically grounded understanding of the wide variety of methods now available for statistical inference this book is a much needed guide.
Yes, as many other reviewers noticed this book has a lot of commonalities with other books by the same authors. But still, it's substantially different It's a historical review from experts in the area about what methods were developed for which purposes and how they are connected to other methods and how they are comparable to other methods The book provides an intuition on very different methods from Fisherian to EM and survival analysis to others what makes this method working and what math behinds it and what tasks it's good for
Very insightful and informative statistical inference book. I own and have read the authors' other books and as always, this new book is fantastic. It's very up-to-date and a great reference book for both intro-level students and statistics professionals.
The explanations of concepts are vivid and easy to understand, and quite often it makes you think from a different angle. Love the writing style!
It's an academic book, but a quite accessible, insightful and pleasant read.
if you knew a bit of statistics lingo, and could get your head round the maths, this book is a thriller. As the book unravels the excitement of learning-from-experience that has intrigued, challenged, lured, and taunted mankind of generations, the book keeps you on the edge of the seat right through the end. You will see ideas emerge, take form, evolve, re-create, and manifest in the most unexpected ways to shape, define and change the way humans look at the world.
A good book includes the essential topics about the contemporary statistical inferences. This book may suitable for who with some intermediate statistical background looking for an introductory reading.