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Introduction To Probability And Statistics: Principles And Applications for Engineering and The Computing Sciences, by J. Susan Milton, Je
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This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.
- Sales Rank: #2116552 in Books
- Published on: 1994-12-01
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 7.00" w x 1.25" l,
- Binding: Hardcover
- 736 pages
Most helpful customer reviews
2 of 4 people found the following review helpful.
This is the worst text I have ever used
By A Customer
I have always loved learning from books, especially math and science books, but this book is impossible. I am a math major with a previous course in statistics and the best use I have found for this text is to set my calculator on it. The examples and exercises are so wordy and written so poorly I have gained nothing from them. I actually think I'm a little dumber after I read from it. This book is written for a reader with an advanced background in statistics and even there, I think those readers would be wise to shop around. I strongly discourage anyone planning on using this book from doing so, just let me sell mine first!
2 of 9 people found the following review helpful.
A magnificent book!
By pg
This is an extremely well-written book for engineers and computer scientists. It is of an inetermediate level, copvering most of the standard material in conventional texts, with some additional material not normnally found in other texts (e.g. Bartletts' tests on the homogeneity of variances). One of the highlights of this excellent textbook is abundance of examples and exercises which provide hands-on applications of probability and statistics to engineering and computer science. These exercises are real gems, mostly taken from recent journals. With a special section on computing exercises at the end of most chapters, students will just love this book!
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