Timeline for Fisher's z-transform in Python?
Current License: CC BY-SA 4.0
12 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Feb 20, 2021 at 22:15 | history | edited | dwitvliet | CC BY-SA 4.0 |
added 1 character in body
|
S Jan 13, 2021 at 3:52 | history | suggested | YoussefDir | CC BY-SA 4.0 |
link was broken
|
Jan 12, 2021 at 23:57 | review | Suggested edits | |||
S Jan 13, 2021 at 3:52 | |||||
Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
|
|
Jul 7, 2015 at 21:08 | comment | added | dsaxton | This test assumes that you're sampling from a bivariate normal distribution. Does that make sense here? I'd prefer to do some sort of randomization test and approximate the null distribution using simulation. | |
Jul 7, 2015 at 20:48 | history | edited | dwitvliet | CC BY-SA 3.0 |
deleted 1 character in body
|
Jul 7, 2015 at 11:08 | comment | added | ali_m |
Presumably z-transform is a typo, since that's an invalid Python identifier (- is interpreted as subtraction).
|
|
Jul 23, 2014 at 16:39 | vote | accept | dwitvliet | ||
Jul 23, 2014 at 15:36 | answer | added | jona | timeline score: 5 | |
Jul 23, 2014 at 14:23 | comment | added | jona | AFAIK the Fisher transform equals the inverse hyperbolic tangent, so just use that. | |
Jul 23, 2014 at 14:00 | review | First posts | |||
Jul 23, 2014 at 14:06 | |||||
Jul 23, 2014 at 14:00 | history | asked | dwitvliet | CC BY-SA 3.0 |