Timeline for Error for combining multiple binomial distributions
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| S May 30, 2015 at 19:21 | history | bounty ended | CommunityBot | ||
| S May 30, 2015 at 19:21 | history | notice removed | CommunityBot | ||
| May 29, 2015 at 18:06 | vote | accept | Keith | ||
| May 29, 2015 at 18:06 | vote | accept | Keith | ||
| May 29, 2015 at 18:06 | |||||
| May 29, 2015 at 18:05 | vote | accept | Keith | ||
| May 29, 2015 at 18:05 | |||||
| May 29, 2015 at 18:04 | answer | added | Keith | timeline score: 1 | |
| May 22, 2015 at 18:57 | answer | added | Horst Grünbusch | timeline score: 1 | |
| S May 22, 2015 at 17:33 | history | bounty started | Keith | ||
| S May 22, 2015 at 17:33 | history | notice added | Keith | Canonical answer required | |
| May 20, 2014 at 23:04 | comment | added | neverKnowsBest | You may be over-thinking this: note that your estimate of $p_1$ is the mean of 606 observation, which is the same as averaging 303 estimates of $p_1$ of sample size 2, which is the same as averaging 101 estimates of $p_1$ of sample size 6. The CLT can be used directly on your estimates, but when $p$ is near 0 or 1 the rate of convergence is poor, and people often look to continuity corrections. | |
| May 20, 2014 at 20:47 | history | asked | Keith | CC BY-SA 3.0 |