- Paperback: 648 pages
- Publisher: Pearson; 8 edition (6 February 2009)
- Language: English
- ISBN-10: 032163635X
- ISBN-13: 978-0321636355
- Product Dimensions: 20.6 x 2.4 x 25.3 cm
- Boxed-product Weight: 1.2 Kg
- Average Customer Review: Be the first to review this item
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Probability and Statistical Inference Paperback – 6 Feb 2009
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About the Author
Robert V. Hogg, Professor Emeritus of Statistics at the University of Iowa since 2001, received his B.A. in mathematics at the University of Illinois and his M.S. and Ph.D. degrees in mathematics, specializing in actuarial sciences and statistics, from the University of Iowa. Known for his gift of humor and his passion for teaching, Hogg has had far-reaching influence in the field of statistics. Throughout his career, Hogg has played a major role in defining statistics as a unique academic field, and he almost literally "wrote the book" on the subject. He has written more than 70 research articles and co-authored four books including Introduction of Mathematical Statistics, 6th edition, with J. W. McKean and A.T. Craig, Applied Statistics for Engineers and Physical Scientists 3rd edtion with J. Ledolter and A Brief Course in Mathematical 1st edition with E.A. Tanis. His texts have become classroom standards used by hundreds of thousands of students
Among the many awards he has received for distinction in teaching, Hogg has been honored at the national level (the Mathematical Association of America Award for Distinguished Teaching), the state level (the Governor's Science Medal for Teaching), and the university level (Collegiate Teaching Award). His important contributions to statistical research have been acknowledged by his election to fellowship standing in the ASA and the Institute of Mathematical Statistics.
Elliot Tanis, Professor Emeritus of mathematics at Hope College, In addition to this text, received his M.S. and Ph.D. degrees from the University of Iowa. Tanis is the co-author of A Brief Course in Mathematical Statistics with R. Hogg and Probability and Statistics: Explorations with MAPLE 2nd edition with Z. Karian. He has authored over 30 publications on statistics and is a past chairman and governor of the Michigan MAA, which presented him with both its Distinguished Teaching and Distinguished Service Awards. He taught at Hope for 35 years and in 1989 received the HOPE Award (Hope's Outstanding Professor Educator) for his excellence in teaching. In addition to his academic interests, Dr. Tanis is also an avid tennis player and devoted Hope sports fan.
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Most helpful customer reviews on Amazon.com
There have been several times throughout the weeks where I have tried to refer to the contents of the chapter for clarification only to see that it was pointless. You're bombarded with a chunk of text and complicated-looking equations in pretty much every chapter, even the simpler sections, for no good reason. When I refer to my notes, almost a near transcript what the professor has said in class with my own additions, I am able to understand this material better than the book could ever hope to explain.
If you are assigned this book, pray that you have a decent to great professor.
About the only positive I can really consider is that most of the exercise problems seem decent, but that's not a whole lot of help if you don't know how to do them in the first place. The tables and charts, especially those in the front and back of the book, are also nice but that's the sort of standard features we should expect from such an expensive textbook.
Get this on rental. Even if you're a general math or statistics major, there are likely better textbooks out there for you.
If you will be assigned problems from this book as homework, save yourself the money and hassle and get the normal hardcover book.
Textbook companies disgust me. Yes, I'm talking about you, Pearson.
The textbook seems to be decent for those with a strong background in statistics trying to review past material, but for someone without a strong background in the field, it falls flat.
The text is written in such a way that it appears to be a person's notes, with quite a bit of critical information omitted that would otherwise provide the reader with a thorough understanding of how to apply the material.
Perhaps paired with a decent professor to explain the material, this textbook might actually be decent, but a textbook should be designed to stand on its own, and this textbook didn't.
You can still learn from it, but it's more useful for the practice problems than actually learning the material.