Introduction to Probability and Statistics for Engineers

University of Padova

Philip B. Stark, Department of Statistics, University of California, Berkeley

29 June–7 July 2015

Software requirements

Texts

Course Index

Please note: these notes are still in draft form, with large gaps. I'm happy to hear about any errors, and I hope eventually to fill in some of the missing pieces.

  1. Overview
  2. Introduction to Jupyter and R
  3. Mathematical Preliminaries
  4. Linear Algebra
  5. Probability, Random Vectors, and the Multivariate Normal Distribution
  6. Inference and Statistical Models
  7. Multiple Regression
  8. Maximum Likelihood
  9. The Bootstrap
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