index.ipynb

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    "# Introduction to Probability and Statistics for Engineers\n",
    "## University of Padova\n",
    "\n",
    "## [Philip B. Stark](http://www.stat.berkeley.edu/~stark), Department of Statistics, University of California, Berkeley\n",
    "\n",
    "## 29 June&ndash;7 July 2015\n",
    "\n",
    "## Software requirements\n",
    "+ Jupyter: http://continuum.io/downloads\n",
    "+ Native R kernel for Jupyter: http://irkernel.github.io/ (\"conda install -c r r-irkernel\")\n",
    "\n",
    "## Texts\n",
    "+ Freedman, D.A., 2009. [_Statistical Models: Theory and Practice_, Revised Edition](http://www.amazon.com/Statistical-Models-Practice-David-Freedman/dp/0521743850/), Cambridge University Press.\n",
    "+ Stark, P.B., 1997&ndash;2015. [_SticiGui: Statistical Tools for Internet and Classroom Instruction with a Graphical User Interface_](http://www.stat.berkeley.edu/~stark/SticiGui/index.htm).\n",
    "+ Stark, P.B., 1990&ndash;2010. Lecture notes for Nonparametrics, [Statistics 240](https://www.stat.berkeley.edu/~stark/Teach/S240/Notes/index.htm)"
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    "# Course Index\n",
    "Please note: these notes are still in draft form, with large gaps.\n",
    "I'm happy to hear about any errors, and I hope eventually to fill in some of the missing pieces.\n",
    "\n",
    "1. [Overview](overview.ipynb)\n",
    "1. [Introduction to Jupyter and R](jupyter.ipynb)\n",
    "1. [Mathematical Preliminaries](mathPrelim.ipynb)\n",
    "1. [Linear Algebra](linAlg.ipynb)\n",
    "1. [Probability, Random Vectors, and the Multivariate Normal Distribution](prob.ipynb)\n",
    "1. [Inference and Statistical Models](inference.ipynb)\n",
    "1. [Multiple Regression](regress.ipynb)\n",
    "1. Maximum Likelihood\n",
    "1. The Bootstrap"
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