Probability and Statistical Inference 9th Edition by Robert Hogg (PDF)

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Ebook Info

  • Published: 2013
  • Number of pages: 552 pages
  • Format: PDF
  • File Size: 4.42 MB
  • Authors: Robert Hogg

Description

Written by three veteran statisticians, this applied introduction to 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.

User’s Reviews

Editorial Reviews: 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, 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. Dale Zimmerman is The Robert V. Hogg Professor in the Department of Statistics and Actuarial Science at the University of Iowa.

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐The book is fine so far. I had to get the book for a class. Sections are brief, examples are straightforward. I don’t feel that the examples in the book prepare you for many of the section review questions. I’ve only covered the first two chapters so far.

⭐We’re over halfway through the semester and have gone through about half the book so far, so I guess I can drop a pretty informed review: it’s not great.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.

⭐I bought this textbook to help review for a FAANG data scientist interview. This book clearly covers all of the important prob stats topics. It was my primary resource for reviewing probability and statistics concepts.If you are looking for one textbook to explore probability and statistics, this is your book.

⭐This book is a kinder, friendlier version of Hogg, McKean, and Craig “Introduction to Mathematical Statistics,” which is also an excellent text. Hogg, Tanis, and Zimmerman 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.

⭐While it has all the content that it says it does, the author is too wrapped up in giving examples and specific applications of the theorems that he fails to make the theorems and reasoning for them immediately obvious. What he should have done is: X -> Why X works -> example for X. Instead, he goes: Example for X -> an overly short description of X.You can still learn from it, but it’s more useful for the practice problems than actually learning the material.

⭐This text, while nearly identical in instruction to “Probability and Statistical Inference, Ninth Edition” has slightly different problems. If you are looking for a textbook to follow along with course content, I’d recommend it, but if you’re needing to turn in homework from the book, unfortunately, this is not a good solution.

⭐I can’t speak much for the informative content of the book, since I have a different probability book that I like better. However, for my class, homework is assigned from the end of the section exercises, and while everything ELSE in this global edition of this textbook seems to be the same, some of the end of section exercises are different. Not by much… for example, section 1.3 # 4… The normal edition has you picking two cards and the global edition has you picking three… The first two cards you choose are the same, but that doesn’t really matter, because I can tell you that graders don’t care if you give them correct answers to the wrong questions.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.

⭐My copy had its binding hardly intact and fell apart within the first week of owning. You’re better off trying to find a digital scan of the textbook. Many pages were torn or missing. I’ve bought used textbooks in much better quality with similar price reductions.

⭐The printing is horrible, the paper used is very low quality. The binding too. It is very difficult to read. You can see through the pages what is written behind. The pages are so thin that it feels like they are going to rip off at any time. For a book that costs almost £60, this is unacceptable.

⭐yes, very satisfactory

⭐The book was new and well maintained!! It arrived to my home very fast.

⭐While I bought this product on KINDLE; I failed to notice (NOT DIRECTLY MENTIONED on product page) it is NOT AVAILABLE on Windows 8.0. Purchase has gone almost a waste, as I do not read books on Tablets/ Handsets (only short articles or websites or small PDF docs are read).-Rahul

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