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 marketing
Search options answers only
not deleted
user 28746
For on-topic questions about statistics or machine learning used in marketing or market research.
1
vote
Is there a name for this mis-application of marginal distributions?
Denote (in proportions), $F$ for female and $nF$ for "non-female", $B$ for "blonde" and $nB$ for "non-blonde". The information
50% of the population is female
50% of the population is blonde
perm …
- 60.8k
1
vote
Accepted
Can I use a "reach" variable as independent in a multiple linear regression?
Adding up the values a variable takes over the different time periods has meaning only if this cumulative sum can have a meaningful interpretation. For example, it would be reasonable to try to explai …
- 60.8k
4
votes
Accepted
Observational study with many data Vs. Experimental study with fewer data: Which has more va...
So if we performed a marketing act on "customers yesterday", then our control group is "customers today" -on whom we did not perform a marketing act. … As for confounding variables, you can disaggregate your (large) data sample, and see whether the responses to marketing activities per sub-sample are roughly the same or not (the reasoning is obvious). …
- 60.8k
1
vote
Accepted
Understanding selection bias and endogeneity in marketing
Let $y_a$ be the sales to "intersted users" that have been exposed to paid search ads, let $y_o$ be all other sales, so total sales is $y = y_a + y_o$.
If you regress total sales on a collection of re …
- 60.8k