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 autocorrelation
Search options not deleted
user 105698
Autocorrelation (serial correlation) is the correlation of a series of data with itself at some lag. This is an important topic in time series analysis.
5
votes
4
answers
599
views
How does the random coefficient model take care of autocorrelation?
Consider a mixed model with AR(1) autocorrelation. In my sample, time points for measurements are irregular, so the spherical correlation between ordered observations in time may be imprecise. … If the autocorrelation between measurements within subject is constant no matter how far apart in time the measurements are, the model is not an option for me. …
- 59