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 expected-value
Search options not deleted
user 223455
The expected value of a random variable is a weighted average of all possible values a random variable can take on, with the weights equal to the probability of taking on that value.
0
votes
1
answer
720
views
Expected value of squared least squares estimator
I am trying to prove $E(\hat{\beta} '\hat{\beta}) = \beta'\beta+\sigma^2 *\sum_{k=1}^K\lambda_k^{-1}$ where $\lambda_k$ denotes the eigenvalues of the matrix $(X'X)$ with dimensions $K\times K$. $\ha …
- 3