Timeline for the rules of "approximately independent"
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Apr 15, 2020 at 16:49 | history | edited | jld | CC BY-SA 4.0 |
fixed mistake in S^2
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| Apr 8, 2020 at 0:39 | comment | added | jld | @WXJ96163 no prob and ty! I'd say this is linear algebra + elementary probability, since we're dealing with finite populations we actually don't really need measure theory since we can use power sets as our $\sigma$-algebras. Measure theory is only really needed once we have to start dealing with non-empty but probability zero events and uncountable sample spaces | |
| Apr 8, 2020 at 0:35 | comment | added | WXJ96163 | Thank you. Such a great work! Is this in the framework of measure theory? | |
| Apr 8, 2020 at 0:29 | history | edited | jld | CC BY-SA 4.0 |
added 196 characters in body
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| Apr 8, 2020 at 0:23 | history | answered | jld | CC BY-SA 4.0 |