 There is no stats book I've read more times than computer-aged statistical inference. I picked up my copy of this book from Jay Sam when the book was first released. I stood in line to get my book signed by Brad Efron and Trevor Hastie. If you have never read anything by Brad Efron, you are missing out. He has a certain style to his writing that is entertaining and educating. He often finds ways to add humor to his writing. Brad Efron has received many awards for the invention of the bootstrap. He has spent much of his recent years on empirical Bayes methods. This book reads like a history book, but you will learn all the foundational statistical theory along the way. The book is broken into three parts. First is classical inference. Second is early computer-age methods. The third section is 21st century topics. I really like the coverage of exponential families in this book. He has a nice table in this section showing the relationship of the families. I recently found that Brad Efron has written a monograph on exponential families, which will be released around March of 2023. The last chapters of the book are eye-opening. Chapter 20 covers ideas that are on the bleeding edge of statistics like simultaneous confidence intervals and combined Bayes frequentist estimation. The last chapter covers empirical Bayes estimation strategies and inference methods which may become king in the age of big data. This was just a taste of one of my favorite statistics books. I hope you pick up a copy. If you would like to read the book for free, Brad Efron has made a site which has a PDF copy along with data used for generating some examples. The link to that site is below. Thanks for watching.