Introduction to Mathematical Statistics, 4th Edition | Date: 28 April 2011, 06:32
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This classic book retains its outstanding ongoing features and continues to provide readers with excellent background material necessary for a successful understanding of mathematical statistics. Chapter topics cover classical statistical inference procedures in estimation and testing, and an in-depth treatment of sufficiency and testing theory—including uniformly most powerful tests and likelihood ratios. Many illustrative examples and exercises enhance the presentation of material throughout the book. For a more complete understanding of mathematical statistics.
Review:
Obtuse and error-riddled
There are many great math texts that are difficult going at first, but which pay great dividends the more you “drill down” into them. While this may have been the case with previous editions of this text, the crazy-making number of errata in this edition make it very difficult going ALWAYS.
Furthermore, the ease and small number of exercises aren’t enough to get the concepts firmly stuck in your cranium. I’m using three other supplements to get me through my graduate probability/stats sequence. Pbbtt!!
Review:
Needs to be re-edited
This is one of the worst textbooks that I have ever used in my life. Everyone in my class of over twenty people hated this book. Even my teacher did not think it was very good but unfortunately it is a standard text for graduate level statistics. This book needs more examples and to be edited better as there are a good bit of errors. Also, the structure of the book needs to be changed to be more user friendly. The reader should not have to struggle so much to find the information that he is looking for.
The subject matter in the book is powerful and useful. However, a good textbook displays the information in an accessible way and this book does not do that.
Review:
Not a good teaching tool. Not to mention, full of typos and inconsistencies.
Much too wordy and difficult to read. Not nearly enough examples structured like the exercises at the end of each chapter. Need to more adequately prove concepts/show origins of concepts (i.e. more than just “this is what it is, uh, because it is” or “because that’s how it works out best”). Many typos, so you don’t know what to “trust” (even one of the tables in the appendix has incorrect values for one of the columns in some printings). Not a good textbook for “self-teaching,” hope you have a good professor to learn from.
Review:
Not introductory at all
The book is not introductory to students outside statistics dept or engineering depts. There are logic jumps everywhere and the author doesn’t even bother to briefly explain every concept at the beginning of each section, not mention to tell us how to apply this concept in a real situation. This is a required book in a class I am taking. The only reason I bought it is because I got it very cheap. However, I notice that most students in my class don’t bother read the book, even student from statistics dept. We basically highly depend on lecture notes, homework solutions, and old exam questions. This is the worst book I read ever. I hope there are some other books out there which do a better job to connect math statistics to real situation.
Review:
Yes, it is one of the best books in statistics, although it is not “introductory”
This is one of the most famous books on mathematical statistics. Is it good though? Many reviewers think not. My own personal opinion is that it is fantastic and extremely carefully written. The sixth edition has been completely modernized and includes such “modern” topics as MCMC, robust methods and the EM algorithm.
If you approach this book with a view of getting a *first course in basic statistics*, you will be disappointed and find the book very difficult. Hence many reviewers’ dislike of it. Perhaps the authors are to blame for this, by using the phrase “Introduction to…” in the title, when clearly the book is much more than a mere introduction. To their credit, the authors do warm in the Preface that the book is aimed at beginning graduate students.
So here is the deal: if you are looking for a truly introductory book, try Clarke and Cooke’s “Basic Statistics” or Mendenhall et al.’s “Mathematical Statistics with Applications.” However, if you have some background in basic probability, statistics and calculus, then Hogg et al.’s book will be invaluable to you, because it is extremely well-written (by the very best in the field) and comprehensive. Together with Casella and Berger’s Statistical Inference, it is one of the best existing books in intermediate to advanced statistics.
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