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Essentials Of Mathematical Statistics (International Series in Mathematics), by Brian Albright
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Part of the Jones and Bartlett Learning International Series in Mathematics Written for the one-term introductory probability and statistics course for mid- to upper-level math and science majors, Essentials of Mathematical Statistics combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand. Key Features of Essentials of Mathematical Statistics: - End-of-section exercises range from computational to conceptual to theoretical. - Many sections include a sub-section titled “Software Calculations” which gives detailed descriptions of how to perform the calculations discussed in the section using the software Minitab, R, Excel, and the TI-83/84 calculators. - Provides a clear balance between conceptual understanding and theoretical understanding - Exercises throughout vary in level of difficulty and scope.
- Sales Rank: #352504 in Books
- Published on: 2013-03-05
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.40" w x 7.40" l, 2.50 pounds
- Binding: Hardcover
- 598 pages
Most helpful customer reviews
1 of 1 people found the following review helpful.
Engineering Statistics
By jcorn
Purchased this as the required text book to accommodate an engineering probability/statistics course. However, our teacher had pretty much written his own book that most of the other students solely relied on. I more so used this book, and found it very good at explaining every thing needed in the class. Also, it's a bit smaller than most textbooks, but still has lots of information.
Overall, it was one of the easier references for getting through statistics/probability tailored for engineering disciplines.
0 of 1 people found the following review helpful.
Great value. However
By Brian Alexander
I paid 25% of new value for a used book that was essentially new. Great value. However, the book is not well written. Many times information is assumed and one has to spend a inordinate amount of time to discover something that could have be given with one extra sentence.
0 of 1 people found the following review helpful.
Five Stars
By Eveny
good quality
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