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 central-limit-theorem
Search options not deleted
user 371517
For questions about the central limit theorem, which states: "Given certain conditions, the mean of a sufficiently large number of iterates of independent random variables, each with a well-defined mean and well-defined variance, will be approximately normally distributed." (Wikipedia)
3
votes
0
answers
113
views
What likelihood to use to model sample means from a Pareto-like distribution?
Suppose there is a random variable with Lomax (Pareto Type II) probability density
$$
P(x; c) = \frac{c}{(1 + x )^{c + 1}}, \quad x \ge 0, c > 0.
$$
Let's draw n_samples=30000 samples of length sample …
- 31