Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences | 
 enlarge | Authors: J. Susan Milton, Jesse Arnold
Publisher: McGraw-Hill Science/Engineering/Math
Category: Book
Buy Used: $75.00
New (18) Used (20) from $75.00
Rating:  10 reviews
Sales Rank: 681736
Media: Hardcover
Edition: 4
Pages: 816
Number Of Items: 1
Shipping Weight (lbs): 2.7
Dimensions (in): 9.5 x 6.6 x 1.5
ISBN: 007246836X
Dewey Decimal Number: 519.5
EAN: 9780072468366
Publication Date: September 30, 2002
Availability: Usually ships in 1-2 business days
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Product Description
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.
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| Customer Reviews: Read 5 more reviews...
 Masterfully written April 11, 2004
R. Franzen (Gilbert, AZ United States)
4 out of 5 found this review helpful
I've always found probability and statistics confusing (maybe that's because I was reading Devore's book), but it all seems to make perfect sense after reading this book. I am a professional educator, and I found that the concepts are developed beautifully, and ideas are tied together nicely. In particular, I found the treatment of the moment generating function especially impressive. There are numerous practical applications (albeit they are somewhat outdated) that are good for practice. I would recommend this book to any math major or actuarial student studying for test 1.
not entry level April 29, 2005
m1hello (Milwaukee, Wi United States)
This isn't entry level book. For entry level, read ISBN 0073660078 first. Then read Milton's book.
A magnificent book! November 24, 2001
pg (New York, USA)
2 out of 8 found this review helpful
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!
 Very Good as Textbook July 15, 2005
TTHT
1 out of 1 found this review helpful
This book was recently used as a textbook for an engineering statistics class. Many of the students liked the book and found it easy to read. The level of mathematics in the book is excellent for a college level statistics textbook. I would have given it a five star rating if propogation of error and nonlinear regression analysis were covered in the textbook.
Pretty Solid January 14, 2006
H. Singh (Virginia Tech, USA)
For what it is, it's pretty good. Very well organized, and easy to read (a little dry, but this isn't exactly a recreational novel). Four stars only because it wouldn't hurt to help us use some modern tools (calculators, computer software, etc), instead of the tables in the back. Maybe that's changed since my 3rd edition.
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