Sorry, this item is not available in
Image not available for
Color:
Image not available

To view this video download Flash Player

 
Have one to sell? Sell yours here
Tell the Publisher!
I'd like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Introduction to Mathematical Statistics [Paperback]

by Robert V. Hogg, Allen Craig, Joseph W. McKean
2.7 out of 5 stars  See all reviews (51 customer reviews)


Available from these sellers.


Free Two-Day Shipping for College Students with Amazon Student

Formats

Amazon Price New from Used from
Hardcover --  
Paperback --  
Paperback, June 27, 2004 --  
Unknown Binding --  
Sell Us Your Books
Get up to 80% back when you sell us your books, even if you didn't buy them at Amazon. Learn more
There is a newer edition of this item:
Introduction to Mathematical Statistics (7th Edition) Introduction to Mathematical Statistics (7th Edition) 4.0 out of 5 stars (9)
$147.34
In Stock.

Book Description

June 27, 2004 0130085073 978-0130085078 6th

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.


Customers Who Bought This Item Also Bought


Editorial Reviews

Review

"The writing style is exceptionally clear; also in the more advanced portion, I haven't any reservations about use. It is a much more professional and modern text than ours. I would seriously consider adopting the text if I teach it again and shall suggest it to my colleagues." -- Walter Freiberger, Brown University "The Hogg/McKean/Craig revision stands out as a modernized version of Hogg and Craig. This revision enhances considerably the statistical inference part with discussion of new procedures and methods, and puts in perspective a broad array of modern statistical methods." -- Hosam Mahmoud, George Washington University

From the Publisher

Exceptionally clear and impeccably accurate, the fifth edition of this trusted text offers a careful presentation of the probability needed for mathematical statistics and the mathematics of statistical inference. Offering a strong background for those who wish to go on to study statistical applications or more advanced theory, this text presents the most thorough treatment of the mathematics of statistics of any competing text. --This text refers to an out of print or unavailable edition of this title.

Product Details

  • Paperback: 692 pages
  • Publisher: Pearson; 6th edition (June 27, 2004)
  • Language: English
  • ISBN-10: 0130085073
  • ISBN-13: 978-0130085078
  • Product Dimensions: 9.3 x 7.2 x 1.1 inches
  • Shipping Weight: 2.4 pounds
  • Average Customer Review: 2.7 out of 5 stars  See all reviews (51 customer reviews)
  • Amazon Best Sellers Rank: #446,796 in Books (See Top 100 in Books)

More About the Authors

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

Most Helpful Customer Reviews
38 of 40 people found the following review helpful
Format:Hardcover
Hogg and Craig is one of my favorite texts. It is an intermediate text in mathematical statistics similar to Mood, Graybill and Boes. I took qualifying exams in mathematics for my Masters Degree at the University of Maryland in the early 1970s. One of the exams I took was in statistics. I had little formal training in statistics at the time. Hogg and Craig was the recommended text for the statistics exam. So I bought it and studied out of it on my own. It was very clear with excellent coverage of methods for deriving distributions for random variables and transformations of random variables. I passed my exams and got my highest grades on the statistics exam even though I had more training in abstract algebra. Hogg and Craig really helped. It has been revised since then to maintain currency with statistical developments but it still has maintained its clarity and usefulness. Most of the other reviews that are critical of it are way off base. I am sure that efforts have been made with the numerous revisions to keep the material up to date. Perhaps some critics are correct that it comes up short on some modern advances in Bayesian statistics and other computer-intensive statistical methods. But that should not tarnish its reputation as a classic text in mathematical statistics.
Comment | 
Was this review helpful to you?
91 of 105 people found the following review helpful
2.0 out of 5 stars Check if you can get an alternative October 25, 2005
Format:Paperback
There muliple starting points that could generate your interest and need for this book. If you are a math undergrad major, and this is your required reading, stop here, go get it, use it and probably sell second hand -- you won't be doing that much statistics anyway. If you are a grad student with a major other than statistics, and this is a required reading for a class in statisitical inference you are taking at a local Stat department, stop here and go get it anyway; it won't hurt to have it. Everybody else, welcome to continue...

I am now teaching a semester class on introduction to probability theory (the first class in two semester sequence) using this book, and I don't like it very much. It has a little bit strange audience in mind: students who barely have enough math background to do statistics, just the standard 3 semester calculus sequence, but no real analysis and no complex analysis. If you do statistics for living, or consider doing that, you need something more serious measure-theory based (at least that's how I was taught in my grad program, and I see huge advantages in looking down at probability theory from the measure theory prospective).

In other words, it is one of the few books that fill in the gap between all those colorful but very limited and boring "Probability and Statistics for Housewives" the-only-math-class-for-my-general-college-requirement books that steer away from calculus and call a cdf "area under the curve", on one side; and Cramer's Mathematical Methods of Statistics or Kendall/Stuart's
... Read more ›
Comment | 
Was this review helpful to you?
15 of 16 people found the following review helpful
Format:Paperback
I am a bit puzzled by the numerous low reviews of this book. I suspect that these reviews may be more due to the fact that this book is being mis-used in courses than due to anything lacking in the book itself. This book requires a certain mathematical sophistication and background, and would be absolutely inappropriate for students without this background. My only criticism of this book is that it is strictly classical. It does not explore the Bayesian way of looking at things, does not make any connections to information theory. Although it covers a few nonparametric techniques, it does not integrate them into the discussion from the beginning. Also, there is not as much discussion of theory.

This book is a classic book on statistics. It has been updated with a new author, but the book is essentially the same as the original by Hogg and Craig. It is a good book, but it is hardly modern. Nowadays, this book is being replaced by books like the Casella and Berger. Honestly? I find the Casella and Berger to be inferior to this book. This book may come across as a bit more dry at first, but as one gets into the later chapters, it remains its clarity, whereas the Casella and Berger loses it. In addition, I think the Casella & Berger is more caught up in tedious manipulations than this book is. The coverage of topics is similar. I also find the exercises in this book to be better.

What does this book require? This is not an introductory book, even to a mathematician. I would recommend a prior course in probability, and a number of other rigorous math courses; a course in mathematical analysis/advanced calculus would be helpful.
Read more ›
Comment | 
Was this review helpful to you?
18 of 20 people found the following review helpful
Format:Hardcover
I worked with an earlier version of this text. The text is
geared for math majors. There are many practical examples;
however, the more theoretical examples are elusive at best.
Coverage of the basic laws of probability is good. The examples
dealing with continuous random variables require some prior
knowledge of intermediate calculus which should be no problem
for math majors or engineers. The book benefited me when I
took and passed the Fundamentals of Engineering Examination.
In addition, I've taught statistics several times.
This work is geared for the above-average student. In some
areas, it could be supplemented with the Schaum's Statistics
Outline.
Comment | 
Was this review helpful to you?
Most Recent Customer Reviews
2.0 out of 5 stars Not condition stated
When I ordered this book I made sure that I wanted to get a book that was in good condition so that it doesn't look like a pile of junk. Read more
Published 2 months ago by Daniel Rach
3.0 out of 5 stars Arrive in bad condition
Arrive in bad condition. Some pages lost. I understand this is an used old book, it's natural to have some flaw. But I don't expect such a bad quality. I regret to buy it.
Published 5 months ago by xysheep
1.0 out of 5 stars Physicaly, it's not very good at being a book...
in the sense that it does a terrible job of holding the pages together, in order, in one bound volume of content. Read more
Published 19 months ago by MissNell
1.0 out of 5 stars The production of the book is sure poor quality...
I received the text today. I notice that the binding is poorly glued, the back paper cover has a rolled edge and has production scuff marks. The paper used for printing is cheap. Read more
Published 19 months ago by Gary H. Young
1.0 out of 5 stars worst textbook I have ever read
I have used many textbooks ranging from finance to statistics. This one stands out as the non sense no brain one. Read more
Published on April 16, 2012 by robert
1.0 out of 5 stars Very poor book.
This book suffers from a lack of explanatory content. Far, far too little attention is given to explaining things. Read more
Published on April 10, 2012 by Tom
5.0 out of 5 stars Challenging
This book by no means is not for the weak minded. From the get go, it challenges the reader to think critically of the concepts being presented. Read more
Published on February 14, 2012 by Helter Skelter
1.0 out of 5 stars LOUSY, LOUSY, LOUSY!
This book was incredibly frustrating. The material is poorly organized: the author talks about some method, then abandons it to talk about something else before coming back to it... Read more
Published on December 6, 2011 by LRobinson
4.0 out of 5 stars good book
Easy writing with bunch of examples make probability theory easy to understand.
It not only contains probability but also many topics related to pattern classification,... Read more
Published on September 24, 2011 by Mars
3.0 out of 5 stars Reviewing my item
My purchase arrived home in no time! I thought It would take a lot longer. The book was fine, but it could have been in better conditions, the cover was not totally ok and a leaf... Read more
Published on September 19, 2011 by Valeria
Search Customer Reviews
Only search this product's reviews
ARRAY(0x9deb23e4)

What Other Items Do Customers Buy After Viewing This Item?


Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Forums

There are no discussions about this product yet.
Be the first to discuss this product with the community.
Start a new discussion
Topic:
First post:
Prompts for sign-in
 



Look for Similar Items by Category