Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences

by Jesse C. Arnold and J. Susan Milton

Book Overview

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.... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 0070426236
• ISBN13: 9780070426238
• Release Date: January 1994
• Publisher: McGraw-Hill Companies
• Length: 811 Pages
• Weight: 2.80 lbs.
• Dimensions: 1.4" x 6.6" x 9.5"

Customer Reviews

Pretty Solid

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.

Very Good as Textbook

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.

not entry level

This isn't entry level book. For entry level, read ISBN 0073660078 first. Then read Milton's book.

Masterfully written

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 There are numerous practical applications (albeit they are somewhat outdated) that are good for practice.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.

A magnificent book!

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!