Join today and start reading your favorite books for Free!
Rate this book!
Write a review?
I love this book with every cell in my body. Have read it so many times and every time learned something new. You cannot work in the industry without reading this.
I gave up on Chapter 3. The examples are great (in quantity and scope), but it's not really an 'introduction', because the concepts are not very clearly explained, and the problems are very confusingly worded. Perhaps, that's because the book is a bit dated. I'm now looking at Blitzstein's intro, which seems to have a better explanation of the intuition behind probability. I'll come back to this eventually, I think.
One of the worst textbook I've used. He doesn't define terms properly, merge theorems and propositions with examples, and put far too much emphasis on the examples. If you want to learn Markov chain theory, use wikipedia instead.
Not exegetical like that of Jay L. Davore. Few examples added with the lack of immaterial exemplars have made it less accessible to neophytes to probability.
a very basic and applied book on probability models. if it were me, i'd read drake's book on probability to get the basics and then go straight to a more advanced text on whatever you're interested in (markov chains or probability theory or stochastic processes or queuing theory or whatever) and skip this thing.
Sheldon Ross is a genius of our time. This is an excellent book for introduction to stochastic processes, a subject that I am sure most find challenging.
Excellent treatment of all mathematical topics. One of my all time favorites.