Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See this image
Have one to sell? Sell on Amazon

Modeling Random Systems Paperback – March 20, 2004

ISBN-13: 978-0131414372 ISBN-10: 0131414372 Edition: 1st
Buy used
Condition: Used - Like New Details
Condition: Used: Like New
Comment: Used, but looks brand new. Only very slight signs of use. Cover and binding are undamaged, and pages are crisp and unmarked. .
Access codes and supplements are not guaranteed with used items.

Used & new from other sellers Delivery options vary per offer
31 used & new from $9.41
Free Two-Day Shipping for College Students with Amazon Student Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student

Hero Quick Promo
Save up to 90% on Textbooks
Rent textbooks, buy textbooks, or get up to 80% back when you sell us your books. Shop Now

Hero Quick Promo
Today Only: Up to 80% Off Popular Summer Reads on Kindle
Today only, get books by Jhumpa Lahiri, Brad Meltzer, Amy Tan, Jane Green, and more at up to 80% off. Learn more

Product Details

  • Paperback: 720 pages
  • Publisher: Prentice Hall; 1st edition (March 20, 2004)
  • Language: English
  • ISBN-10: 0131414372
  • ISBN-13: 978-0131414372
  • Product Dimensions: 7.2 x 1.2 x 9.8 inches
  • Shipping Weight: 2.2 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #3,338,344 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

4.0 out of 5 stars
5 star
4 star
3 star
2 star
1 star
See the customer review
Share your thoughts with other customers

Most Helpful Customer Reviews

2 of 2 people found the following review helpful By Steven J. Wojtczuk on September 19, 2006
Format: Paperback Verified Purchase
This book contains many interesting examples for engineers and scientists that I have not seen in other elementary probability textbooks, such as the expected distance between points in a two-dimensional spatial Poisson process ("distance between wildflowers in a field" example) which I find useful to model IC defects and in many other applications. The level of mathematical rigor is perhaps low for mathematics students, but I think is fine for most engineer and science students. The book is quite readable. There are many worked examples, as well as answers to many problems. I think it is a mistake to integrate the text so much with Mathematica, since the text is unique enough to stand alone. There is a one chapter on statistics including hypothesis testing which is a reasonable although brief introduction, but I do not think fits in well with the rest of the book. The book is biased toward EE applications.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again