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Probability and Statistical Inference, Books a la Carte Edition (8th Edition) Loose Leaf – Jul 24 2009

4.5 out of 5 stars 2 customer reviews

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Harry Potter and the Cursed Child
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Product Details

  • Loose Leaf: 622 pages
  • Publisher: Pearson; 8 edition (July 24 2009)
  • Language: English
  • ISBN-10: 0321656717
  • ISBN-13: 978-0321656711
  • Product Dimensions: 19.8 x 2.3 x 25.1 cm
  • Shipping Weight: 1.2 Kg
  • Average Customer Review: 4.5 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: #1,103,411 in Books (See Top 100 in Books)
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Product Description

From the Back Cover


Written by two leading statisticians, this applied introduction to the mathematics of probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.


Probability; Discrete Distributions; Continuous Distributions; Bivariate Distributions; Distributions of Functions of Random Variables; Estimation; Tests of Statistical Hypotheses; Nonparametric Methods; Bayesian Methods; Some Theory; Quality Improvement Through Statistical Methods


For all readers interested in mathematical statistics.]]> --This text refers to an out of print or unavailable edition of this title.

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. --This text refers to an out of print or unavailable edition of this title.

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Top Customer Reviews

Format: Hardcover
This book is getting lots of bad reviews. I used this book during a second-year course in Probability, and I found it to be a useful reference. On the rare occasion that I missed a lecture, the book was quite readable, and easily allowed me to catch up. Also, most theorems are proven in adequate detail, so it is easy to get an understanding of why a result works. There are also plenty of examples. Open the book to a random set of two pages - chances are there's an example being started somewhere on it.

So I really don't see what the problem with this textbook is. It definitely isn't worth it to buy it new, but if you can land a used copy, then it should suit any early-mid undergraduate student just fine. Maybe it isn't as useful for a course in Statistics, and this is what people don't like about it?
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Format: Loose Leaf Verified Purchase
Great price n so much easy to just take the req pages than the whole book.
In general good Txt has a lot of examples and questions
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: HASH(0xa0cd4648) out of 5 stars 43 reviews
13 of 14 people found the following review helpful
HASH(0xa30e57b0) out of 5 stars This is an excellent text Aug. 5 2012
By Finance Prof - Published on Amazon.com
Format: Hardcover Verified Purchase
This book is a kinder, friendlier version of Hogg, McKean, and Craig "Introduction to Mathematical Statistics," which is also an excellent text. Hogg and Tanis is less dense than its older brother, having more examples of applications and more verbal development and discussion surrounding equations and results. The book is premised on a background of three semesters of calculus, although two semesters (differential and integral) is probably enough as multiple integrals can be readily grasped without a whole semester's treatment. If you lack the mathematical foundation, you will struggle with this material regardless of the textbook used. This is an excellent textbook for an introduction to this material. As the authors note, the first five chapters are good preparation for the first actuarial exam.
10 of 11 people found the following review helpful
HASH(0xa30e59fc) out of 5 stars I don't understand why so many people are rating this book low Aug. 13 2012
By Knowledge Seeker - Published on Amazon.com
Format: Hardcover Verified Purchase
I just finished 2 semeseter-long courses (Probability, and Mathematical Statistics) based on first half and second half of this book respectively. This was in an online learning setting. Just to give you a sense for my background, I already have a Masters degree in Mech Engg, plus an MBA in Finance, and am currently pursuing a Masters in Applied Statistics.

I rate the book a 4.5 stars. The 0.5 stars held back for lack of clear separation throughout the book between where examples end, and where the next topic starts. Plus Chapter 9 (Bayesian Statistics) was a bit wordy/difficult (could just be me).

Other than that, it's been a great book to follow for an Applied Statistics focus. It is not 100% suited for self study (I'd say more like 70% suited), because a Solutions Manual is not readily available. However, with the Home work problems from this book that my instructor assigned every week, and the worked out solutions he provided subsequently, this book was just "fantastic" in getting a good intuition about the subject matter. Especially if you give an honest effort to solving the problems yourself prior to looking at solutions. The homework problems cover many areas of interest, and you can clearly tell are not just made up - at the same time, serve to explain/drill concepts well, without overemphasis on the nonstatitical background of the problem.

Like another reviewer pointed out, this book's "elder sibling", the Hogg/Craig book (which I bought too), is more theoretical/dense/concise in explanations, and is the one probably better suited for a pure Statistics focus.

There might be other books that might be even better if your focus is only on certain areas: for example I really liked Jim Pitman's Probability book (which also I own), and this book could have been used as the text for the Probability portion of the syllabus (i.e., first sem of two semesters). However, there is something to be said about having the same book for 2 courses in 2 semesters, especially when you have to refer back to the earlier course for some concepts.

Another book that is similar to current book and merits a look I believe is Larsen's Introduction to Mathematical Statistics and Its Applications, though I am not a professor who can give you a more educated comparison of the two books based on a ton of experience.
4 of 5 people found the following review helpful
HASH(0xa30e59c0) out of 5 stars Better than I expected Sept. 21 2011
By N.S. Palmer - Published on Amazon.com
Format: Hardcover Verified Purchase
Based on the low rating and some of the bad reviews, I wasn't expecting much but I was pleasantly surprised. The explanations are concise and to the point, the material is well-organized, and there are lots of examples.

It focuses on some different areas than Wackerly's book, Mathematical Statistics with Applications, which is the best statistics textbook that I've seen. However, this book is shorter than Wackerly, a little cheaper, and covers some areas in slightly more depth. The big drawback is that there's no eBook version for the Kindle, as there is for Wackerly.

I wish that the Amazon listing had sample pages of the book so that people could see what they're thinking about buying. I took a chance on this book and am happy with it, but it was a risk to buy it sight unseen. I held off for a long time because of that.
1 of 1 people found the following review helpful
By Anonymous - Published on Amazon.com
Format: Hardcover
After reading most of the first five chapters, I feel safe in saying that this is certainly not a good book. I think there's enough examples and the examples are somewhat helpful, but I feel as if they're hurried through a little.

For instance, there's this part on how to convert limits of integration from one double integral to appropriate ones for a related double integral. The book introduces this saying, "It is often [doing what I just described] which causes the biggest challenge. That is, in most cases, it is easy to [do the rest of the stuff with the double integrals]. However, [doing what I just described] can be more difficult." Okay, not a great start. Does it have an illustrative example? No, in the corresponding example the book just SAYS which limits map to what. Giving it credit, there is a related diagram. But it's somewhat unclear too.

So overall... It's hard to tell what's important, it's hard to tell when an example starts and stops, sometimes the authors go off on what seem like tangents to compute super difficult integrals for a page, sometimes variables are worked with for a minute before it's mentioned what they are. And I agree with another user that it can certainly be difficult to tell whether results are meant as a "this is always true" or "in this case, ...".

I mean, it's not dreadful. I can learn from it, but I have to put more work into it than usual. I would say it's subpar.
5 of 7 people found the following review helpful
HASH(0xa0cdb1c8) out of 5 stars The Worst Text Book I've Ever Been Forced To Use Aug. 31 2012
By StatsManB - Published on Amazon.com
Format: Hardcover Verified Purchase
As a graduate student in Applied Statistics with a 3.76 Undergrad GPA and a 3.8 Grad School GPA 21 hours in to my M.S. at one of the top 20 Statistics schools in the country, I can say without a doubt that this is the worst written book that I have ever been forced to experience. The authors bounce from one topic to the next with absolutely no transition. Seemingly every other page of the book is filled with abstract mathematical notation that the authors rarely care to introduce or explain in any way. Applied examples are few and far between, making it near impossible to grasp any of the topics discussed. End of chapter exercises are worthless as they usually require you to take the incredibly abstract work of the chapter multiple steps further, so that even if you were able to make any sense of what you just read, you have to also know additional information beyond the examples in order to complete the exercises. Wow! There just has to be a better book out there for this subject at the graduate level.