Timeline for Expectation for a function of a discrete random variable
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Oct 13, 2022 at 8:03 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Sep 28, 2021 at 9:00 | history | tweeted | twitter.com/StackStats/status/1442776128406556676 | ||
| Sep 27, 2021 at 23:29 | answer | added | Ben | timeline score: 2 | |
| Sep 27, 2021 at 22:07 | answer | added | Dilip Sarwate | timeline score: 1 | |
| Sep 27, 2021 at 19:29 | comment | added | Alec | Thanks! My question has been answered completely in these comments. @periwinkle - Give me something to checkmark? :) | |
| Sep 27, 2021 at 15:34 | history | edited | kjetil b halvorsen♦ |
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| Sep 26, 2021 at 22:51 | comment | added | Glen_b | Some books do treat $E[g(X)]= \int_x g(x) dF$ ($ = \sum_x g(x)p(x)$) as the definition of expectation, but more derive it from the ordinary definition of $E(X)$. | |
| Sep 26, 2021 at 21:03 | comment | added | periwinkle | This result is indeed mathematically provable and not just some obvious identity. Is called the "law of the uncounscious statistician". According to Wikipedia it is called like that because "of a purported tendency to use the identity without realizing that it must be treated as the result of a rigorously proved theorem, not merely a definition". See en.wikipedia.org/wiki/Law_of_the_unconscious_statistician | |
| S Sep 26, 2021 at 20:55 | review | First questions | |||
| Sep 26, 2021 at 21:24 | |||||
| S Sep 26, 2021 at 20:55 | history | asked | Alec | CC BY-SA 4.0 |