**Probability and Statistics Cookbook**

by Matthias Vallentin

2012**Number of pages**: 31

**Description**:

The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations.

Download or read it online for free here:

**Download link**

(1.5MB, PDF)

## Similar books

**Introduction to Probability Theory and Statistics for Linguistics**

by

**Marcus Kracht**-

**UCLA**

Contents: Basic Probability Theory (Conditional Probability, Random Variables, Limit Theorems); Elements of Statistics (Estimators, Tests, Distributions, Correlation and Covariance, Linear Regression, Markov Chains); Probabilistic Linguistics.

(

**13564**views)

**Think Stats: Probability and Statistics for Programmers**

by

**Allen B. Downey**-

**Green Tea Press**

Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.

(

**23140**views)

**Basic Data Analysis and More: A Guided Tour Using Python**

by

**O. Melchert**-

**arXiv**

In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations (aka sequence of random experiments).

(

**15126**views)

**Markov Chains and Mixing Times**

by

**D. A. Levin, Y. Peres, E. L. Wilmer**-

**American Mathematical Society**

An introduction to the modern approach to the theory of Markov chains. The main goal of this approach is to determine the rate of convergence of a Markov chain to the stationary distribution as a function of the size and geometry of the state space.

(

**14708**views)