Statistical Inference, 2nd Edition

This is the classic textbook that most universities have as their reference book for an introductory course on Mathematical Statistics. There might be some confusion about the level of the book as to whether it is introductory, or advanced. For students who are pursuing PhD in statistics, this is an introductory book and this material is covered in upper undergraduate courses for stats majors in mathematics departments. However, it is a graduate text for other disciplines like bio-statistics. This book is the starting point for the progression of learning for an aspiring statistics PhD candidate and the entire progression is given by1. Upper undergraduate -- Casella and Beger2. Graduate -- Probability and measure -- Billingsley/Williams etc3. Graduate -- Lehmann and Casella (Estimation)4. Graduate -- Lehmann and Romano (Testing)5. Graduate -- Van der Vaart (Asymptotics)6. Advanced Graduate -- Wainwright, Vershynin

Best book, paper quality is also good

Good book for my semester exam

This is one of the finest & comprehensive book on statistical distribution that explains various types of discrete and continuous distribution with solid proofs and examples . Must to have for statistical inference as a reference book .

This is a very good book for the second course in statistics. Everything is explained in a very good way, there are plenty of examples and exercises to work out.

Very elaborative!

No praise is high enough for this book. It highlights practical aspects of various statistical theories in such way that you fall in love with it. If you are a graduate student in Statistics, this book will only help you improve.

Good for reference advance material