Pishro-Nik's: Introduction to Probability, Statistics and Random Processes is a very accessible introductory probability and statistics book at a level of an undergraduate math/computer science/physics major. I have detailed my solutions to all problems in the text (this is still a work in progress), which can be found freely online on the book's website. A student solutions manual for the odd problems is available, but I believe my work on these problems can offer an alternative and sometimes more intuitive solution. Additionally, I have transcribed the entire introduction to simulation chapter into Python and have made my Jupyter notebook for this chapter available here.

• Link to PDF of book.

• 01 - Basic Concepts

• 02 - Combinatorics: Counting Methods

• 03 - Discrete Random Variables

• 04 - Continuous and Mixed Random Variables

• 05 - Joint Distributions

• 06 - Multiple Random Variables

• 07 - Limit Theorems and Convergence of Random Variables

• 08 - Statistical Inference I: Classical Methods

• 09 - Statistical Inference II: Bayesian Inference

• 10 - Introduction to Random Processes

• 11 - Some Important Random Processes

• 12 - Introduction to Simulation Using Python [Notebook]

• 13 - Recursive Methods