|
You are here |
blog.moertel.com | ||
| | | | |
blog.analytics-toolkit.com
|
|
| | | | | ||
| | | | |
opguides.info
|
|
| | | | | 10 - Probability/Stats # Seeing Theory: A visual Introduction to probability and statistics Why, where are these used, etc. bring up music things, part failure rates, tolerances, etc. Basics # For the following, Ill be using a die roll example, where the events are the total of two die. The Sample Space of this is \(S = \{2,3,4,5,6,7,8,9,10,11,12\}\) Note, that 1 isnt possible as the lowest is both die being 1. | |
| | | | |
poissonisfish.com
|
|
| | | | | Someof the most fundamental functions in R, in my opinion, are those that deal with probability distributions. Whenever you compute a P-value you relyon a probability distribution, and there are many types out there. In this exercise I will cover four: Bernoulli, Binomial, Poisson, and Normal distributions. Let me begin with some theory first: Bernoulli... | |
| | | | |
liorsinai.github.io
|
|
| | | A series on automatic differentiation in Julia. Part 1 provides an overview and defines explicit chain rules. | ||