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


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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  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: #603,375 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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 the Hardcover edition.

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 the Hardcover edition.

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Most helpful customer reviews

By Thavisha Fernando on Sept. 16 2013
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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By Kevin C on Dec 14 2011
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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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 37 reviews
12 of 12 people found the following review helpful
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.
8 of 8 people found the following review helpful
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.
10 of 13 people found the following review helpful
Not a worthwhile purchase July 27 2010
By orderinchaos - Published on Amazon.com
Format: Hardcover
My review is for the International Edition, but I presume it is textually almost identical to the US version.

I got this book for a course I was doing externally through university - it claims to be suitable for "students at the junior level who have taken a good standard course in calculus", but I was decidedly unimpressed by the book's lack of logical progression. The authors would often state something and jump to the conclusion without explaining how they got there. It also failed to build a holistic picture so that one developed a problem-by-problem ability in the subject, not a conceptual framework. I ended up falling back on two books, Larsen/Marx (1986) and Mendenhall (1990), both of which were more suited to the intended level and explained carefully where they were going. There is also some evidence of a lack of proof-reading at times with grammatical and spelling issues (including on the first line of the preface!)
3 of 3 people found the following review helpful
I'm confused as to why so many people dislike this book Dec 10 2012
By SKC - Published on Amazon.com
Format: Hardcover
I used this book for my elementary probability and statistics class, and I still reference it now in graduate school. This book gives very good explanation for why probability works the way it does, and the important proofs of why we view statistics the way we do. This is a book that will provide a solid foundation in probability and statistics through quick proofs and less examples. It teaches you to acquire good intuition about probability and statistics, and I constantly recommend my peers to use this book as reference.
2 of 2 people found the following review helpful
awful textbook Jan. 29 2014
By Adam - Published on Amazon.com
Format: Hardcover Verified Purchase
This book has unclear discussions of the topics and does a poor job of explaining concepts. It does the bare minimum when it comes to explaining things. Just providing the answers to the odd questions is lazy and deceitful, because it forces you to buy/find the answers to the even questions. It is lazy because the problems are not worked out, and only the answers are given, which is practically useless to a student. Even in the instructor's manual with the even solutions worked out, the authors did a bare minimum when working out the solutions to explain to a student. Poorly written textbook by lazy authors. Complain to your teachers and let's get this book off the shelves!!!


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