# What is more elementary than: Introduction to Stochastic Processes by Lawler

I have trouble to reading this book!

What book is more elementary/preliminary than this book: Introduction to Stochastic Processes by Lawler

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It is very difficult to answer your question with the information given.

These might be more gentle and the last one uses Maple.

$\bullet$ Introduction to Stochastic Processes, Paul Gerhard Hoel, Sidney C. Port, Charles J. Stone

$\bullet$ Adventures in Stochastic Processes, Sidney I. Resnick

$\bullet$ An Introduction to Stochastic Processes and Their Applications, Petar Todorovic

$\bullet$ An Introduction to Stochastic Processes, Edward P. C. Kao

$\bullet$ Informal Introduction to Stochastic Processes with Maple, Jan Vrbik, Paul Vrbik

Maybe if you can describe what issues you are having, we could provide more guidance.

There are also some older books that are excellent, but I am not at home and the titles are escaping me.

Regards

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Thanks you, i just need some easier book on the subject to read +1 :) –  Victor Jan 21 at 16:30
@Victor: You are welcome! For most students, being able to see actual working code and examples and to play with them is very helpful and instructive, so if you have Maple, I would go with the last as that will provide you with an experimental approach. This will help to solidify the theory for the text you are using. Regards –  Amzoti Jan 21 at 16:35
Nice suggestions, and I like your follow-up recommendation! Combine hands-on + theoretical! –  amWhy May 7 at 1:10
@amWhy: For classes in Stochastic Processes, I cannot tell you how important this is to the learning process. We have so many more wonderful tools to help in this regard (kids today can be so spoiled)! :-) –  Amzoti May 7 at 1:14

Applied Stochastic Processes in science and engineering by Matt Scott from the University of Waterloo is free online. It emphasizes ideas and methods.

http://www.math.uwaterloo.ca/~mscott/Little_Notes.pdf

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Stochastic processes by Sheldon Ross is very elementary:

A nonmeasure theoretic introduction to stochastic processes. Considers its diverse range of applications and provides readers with probabilistic intuition and insight in thinking about problems.

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