Timeline for Noncentrality Parameter - what is it, what does it do, what would be a suggested value?
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Nov 16, 2023 at 0:48 | comment | added | Nate | @AdamO, is mu_1 always zero, or can it take the value of the starting mean? I'm trying to calculate the ncp in R for a power analysis on detecting a % change in a mean value (density). Is my starting mean value = mu_1 in this case? | |
| Nov 14, 2023 at 1:50 | comment | added | DWin | @AdamO Neither of those distributions look like chi-squared. Why not draw a t-distribution with an ncp. It's not that difficult with R which I guessing you used. The only reason I "here" is that there's an SO question that cites this Q. | |
| May 5, 2020 at 3:54 | comment | added | AdamO | @ben I didn't draw a non-central T, I drew the power of a statistical test (red area, shaded). The non-central Chi-sq distribution describes that area when doing power calculation. | |
| Apr 25, 2018 at 12:14 | comment | added | Ben | I get why random sampling would lead to a normally distributed mean if the null hypothesis were true (your black line). But the web has given me conflicting descriptions of the distribution under the alternative (i.e., when $\mu_2$ is assumed to be different to $\mu_1$) - in yours it is also normal (red line) but e.g., real-statistics.com has shown it to be skewed (see image half-way down the page). Surely, I've missed a trick. Can you help clear things up for me? | |
| Aug 11, 2016 at 11:21 | vote | accept | Deepend | ||
| Jul 8, 2015 at 19:36 | history | edited | AdamO | CC BY-SA 3.0 |
added 208 characters in body
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| Jul 8, 2015 at 18:01 | history | answered | AdamO | CC BY-SA 3.0 |