Free PDF Modern Mathematical Statistics with Applications (Springer Texts in Statistics), by Jay L. Devore, Kenneth N. Berk
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Modern Mathematical Statistics with Applications (Springer Texts in Statistics), by Jay L. Devore, Kenneth N. Berk
Free PDF Modern Mathematical Statistics with Applications (Springer Texts in Statistics), by Jay L. Devore, Kenneth N. Berk
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Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without much attention paid to how statistics is actually used.. In contrast, Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data.
The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters. The remainder of the book explores the use of this methodology in a variety of more complex settings.
This edition includes a plethora of new exercises, a number of which are similar to what would be encountered on the actuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aroma of Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related to launch temperature.
- Sales Rank: #321675 in Books
- Brand: Brand: Springer New York
- Published on: 2011-12-06
- Original language: English
- Number of items: 1
- Dimensions: 2.00" h x 7.30" w x 10.20" l, 3.65 pounds
- Binding: Hardcover
- 845 pages
Features
- Used Book in Good Condition
Most helpful customer reviews
7 of 7 people found the following review helpful.
My all-time favorite text book
By MissTab
I think this is an excellent book. I used it for two semesters of mathematical statistics in my senior year of undergrad. I was an applied math major, so I really appreciated the way this book is organized. It doesn't get too theoretical or include tons of unnecessary proofs. Also, I found the book to be very user-friendly. It includes all necessary formulas, several examples, and many many practice problems with solutions to the odd problems in the back. Overall, I think it is well-written and very readable. I often referred back to this book in graduate school.
3 of 3 people found the following review helpful.
Good Entry Point.
By Walter
Modern Mathematical Statistics by Devore and Berk is an excellent place to start your exploration of probability and statistics. While probability is a branch of mathematics, statistics is its own separate entity that is partially an outgrowth of probability. The authors choose to focus this book on the fundamental ideas of probability and statistics and the application of these ideas to many real life problems. I support this approach since it highlights the ever increasing need to know this material, while not obscuring what is actually going on with complicated math. A student only needs a year of calculus to understand the bulk of the book. Even with this restriction the authors manage to show the important results covered in any entry level book on probability or math stat.
The book is ideal for self study the since authors give many example problems, clear exposition, and a student solution manual. The authors use minitab, a statistical program, to highlight the role that statistical computing plays in data analysis. I like that a statistical program is used, but I have never seen minitab used anywhere in real life.
If I had to teach a class on these topics, I would use this book. Classes like probability and mathematical statistics are often comprised of a diverse audience. Not only will you have math and stat majors, but students from the physical and social sciences. The low amount of prerequisite math should give everyone a chance to succeed. If an instructor wants to examine a topic in more depth than what is presented here, he or she can always assign additional readings from a book like Rice, which shares the same basic philosophy, but presents the material at a higher level.
7 of 9 people found the following review helpful.
I taught 4 years out of this book
By A. Artemiou
I used this book for 4 years (8 semesters) to teach a series of classes). The first class covered Chapters 1 to 5 and the other Chapters 6 to 14. As an instructor I found it extremely logical to follow the flow of the book in class and also extremely useful that not only has exercises at the end of each section but also at the end of each Chapter, giving my students the opportunity to practice with exercises covering the whole Chapter. The variation of exercises is great. The topics are mostly well covered with the occasional flaw here and there that I believe every book has.
I believe that this book is very student friendly and very instructor friendly and one of the few books that can do that.
The courses I used it where introductory courses for Probability and Statistics for Computer Scientists majors and also it was a course for people taking the minor in Statistics. If you are teaching this type of class I feel this is a great book to use.
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