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 multivariate-analysis
Search options not deleted
user 294539
Analyses/models where there is more than one response (dependent) variable. Commonly confused with "multiple" or "multivariable" analysis, which has more than one predictor (independent) variable.
0
votes
1
answer
1k
views
How should bootstrap bias correction be applied when combining multiple biased estimates?
I am trying to use non-parametric bootstrap methods to get confidence intervals for a multi-step estimator that combines multiple variables:
$\hat\theta = \sqrt{\sum\limits_{i=1}^{n} {\left(\sum\limit …
