Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with binomial-distribution
Search options not deleted
user 159700
The binomial distribution gives the frequencies of "successes" in a fixed number of independent "trials". Use this tag for questions about data that might be binomially distributed or for questions about the theory of this distribution.
3
votes
Probability of a run of k successes in a sequence of n Bernoulli trials
Here is a Mathematica simulation for the Markov chain approach, note that Mathematica indexes by $1$ not $0$:
M = Table[e[i, j] /. {
e[9, 1] :> 0,
e[9, 9] :> 1,
e[_, 1] :> (1 - p),
e[ …
- 51