Statistical Inference

Rating:
Summary: Very complete advanced introduction to statistics
Review: Casella and Berger have written an excellent book on mathematical statistics, perfect for the first year graduate student. This book is different from other books (i.e. Lehmann) in that it has a thorough introduction to basic probability theory, for those who might need the review. The theorems in this book are more thorough and complete than in some other books (i.e. Bickel and Doksum). Unfortunately, this book is priced rather highly for those with a casual interest in statistics. However, if price is not an issue, I would strongly recommend this book. I refer to it often.

Rating:
Summary: horrible intro to math stat
Review: How can anyone rate this book above one star. This is the most awful book on statistics I have ever read. In the preface there is a passage that states that the book is intended for a theoretical statistics course and NOT a mathematical stat class. The unforntunate thing is that there aren't too many good books in math stat, so the majority of professors teaching graduate level stat resort to this book. The concepts are way to technical to leave out numerous examples as this book does. I really liked statistics until I read this book. My suggestion is to read Hogg & Craig instead.

Rating:
Summary: Probably the best book for a newcomer to statistics
Review: I found myself wanting to learn statistics and spent many hours browsing the stat books at the Stanford book store - and this book had it all. Some of the proofs are relegated to exercises and this is both fun and maddening! If you have a basic math background - a physicist or engineer equivalent - you will have no problems understanding the book. It's expensive - but you will have months (if not years!) of fun with it. There are many typographical errors in the book but many of them are found in the "errata" at the end. Now, if some one came up with a solution manual for this...

Rating:
Summary: Probably the best book for a newcomer to statistics
Review: I found myself wanting to learn statistics and spent many hours browsing the stat books at the Stanford book store - and this book had it all. Some of the proofs are relegated to exercises and this is both fun and maddening! If you have a basic math background - a physicist or engineer equivalent - you will have no problems understanding the book. It's expensive - but you will have months (if not years!) of fun with it. There are many typographical errors in the book but many of them are found in the "errata" at the end. Now, if some one came up with a solution manual for this...

Rating:
Summary: This is an excellent introduction to theoretical statistics.
Review: I read this book by myself, and I have to say it's pretty good for self-study. It's very well written and easy to follow. This book provides a good introduction to theoretical statistics, and clarifies many confusing points. I strongly recommend this book to anyone who is interested in more involved analysis of econometrics and quantitative finance.

Rating:
Summary: A complete and sufficient textbook.
Review: I think this is a great book for a student who wants to get a complete idea about probability and statistics as a first course. The sufficient number of exercises give a good motive to practise. Solutions should be given at the end.

Rating:
Summary: StandardTextbook!
Review: I use this book for my graduate program too. This is a very good theory book. But I really don't like its problem sets because the most of problems are too complicate. Authors seem to want readers to practice their calculus skill not the full theory understanding. I believe that authors can use other type questions to let readers master their understanding not master their calculus abilty( this is the basic requirement of this book) since this ability belongs to math but statistics.

Another problem for this book, authors do not offer any answers for odd number questions. How can reader practice the exercises without any answers?( I just mean answers not full solutions). If you want to but this book for youself please never try to do the exercises because you never know that you work on the correct direction or not!!!!! Since you won't get any answers.


Rating:
Summary: lucid explaination of concepts
Review: I use this book primarily as a reference. I found that important
statistics concepts are very well explained, accompanied with
easy-to-understand examples. Also, the organization is excellent
and it's easy to find and go directly to the topic that I'm looking
for. Well worth the price.

Rating:
Summary: Thoughtful book to learn the basics of statisitcal inference
Review: I used this text in graduate school at North Carolina State University and I found it to be a unique and thoughtful book to learn the basics of statisitcal inference. From the introduction to basic counting theory to deravation of hypothesis tests and confidence intervals I find myself extending the theories introduced to the problems of understanding and summaring data. I continue to refer this text often

Rating:
Summary: great! (but too expensive)
Review: i'm a phd student at the university of chicago's graduate school of business, and this is the book of choice from the stats dept. ...i also hear the same thing from phd students at ucla. great book. succint. complete.