Solved – Book recommendations for reviewing probability and statistics for engineering major

Question

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.

Answer 1

Here are a few recommendations that, combined, strike a balance between theory and practice (with lots of R code and example visualizations). Granted, you shall find emphasis on inference and prediction, a must in a IEOR's toolkit:

• All of Statistics by Larry Wasserman
• Elements of Statistical Learning by Hastie et al.
• Handbook of Statistical Analyses in R by Everitt et al.
• R in Action: Data Analysis and Graphics with R by Kabacoff