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 regression
Search options not deleted
user 140501
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1
vote
0
answers
35
views
Testing calendar anomalies
I am considering using the following regression (where $D_i$ are five dummy variables for each day of the week):
$$X_t = \sum a_i D_i + \epsilon$$
Is this regression viable for my needs? …
- 133
1
vote
0
answers
104
views
Convergence of regression coefficients to probability density
Suppose that we have got function $f: R \to R$
We make a regression of$\begin{bmatrix}
f(y_1+\xi_1) \\
f(y_2+\xi_2) \\
... \\
f(y_n+\xi_n)
\end{bmatrix}$ on $\begin{bmatrix} … & ... & ... \\
f(y_n+\alpha_1) & f(y_n+\alpha_2) &... & f(y_n+\alpha_k)
\end{bmatrix}$
By regression I mean that we are optimizing $\beta_i$ to minimize:
$\sum_{i=1}^n(f(Y+\xi)-\sum_{j=1}^k\ …
- 133