I'm an Industrial Engineering Major and I'm looking out for book(s) on Probability and Statistics (Combined would be preferred but separate would do as well) which :
- I, as a self learner, can work with.
Is concise but covers : Statistical methods for data analysis. Descriptive plots and statistics; observational studies and experiments; confidence interval estimation; hypothesis testing; regression and correlation. in depth. I have already studied them once, I just need to review them with greater depth.
Cater to engineers and not statisticians. I would prefer theory and application rather than theory and rigor.
Would help me in my goal of studying Stochastic Models/Simulations/Financial Engineering (again, on my own).
Has an international edition.
- Recommended/Not Required : Gives examples in R.
I've been through the similar question but 2 answers are ones which recommend a book which the author himself isn't happy with and the accepted answer is a website.
I've looked at Sheldon Ross, DeGroot, Rohatgi and many more but I'm still not sure if any of them give me what I want.