Modeling Random Systems

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.