Product Description

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.

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Product Details

• Amazon Sales Rank: #210353 in Books
• Published on: 2009-03-26
• Binding: Paperback
• 648 pages

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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Customer Reviews

Accessible text with proofs
It is difficult to find a textbook that covers probability and statistics at the correct level. Many texts concentrate on the application of the techniques and omit the proofs while others are full of proofs but are impossible to comprehend without a suitable maths background. This text fits perfectly in the middle. It is both accessible and readable to the non-maths graduate and it also contains the proofs that so many texts lack.

For me this text has a near perfect balance and if you want to really know statistics but you are not a hard-core mathematician then buy this book.

pretty good introduction to stats
I'm guessing that when many people review a seemingly well written statistics book negatively, it's because they hate statistics and are blaming it on the book! This is actually a pretty good introductory statistics book, that's appropriate for an upper level undergraduate stats class, which is where I used it as an undergraduate. You might even call it an intermediate level stats book, since some of the proofs and concepts aren't exactly a cake walk. Things could be explained a bit better, however, and some of the examples and proofs are a bit hard to follow. Nonetheless, I think it's pretty good for building a foundation in stats. A book that explains stats concepts in an easy to understand fashion is Motulsky's Intuitive Biostatistics.