Timeline for estimating the mean of constant + noise
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Mar 21, 2019 at 12:38 | vote | accept | fearless_fool | ||
| Mar 20, 2019 at 0:47 | comment | added | fearless_fool | @WeiwenNg Thanks for the tip. Better? | |
| Mar 20, 2019 at 0:46 | history | edited | fearless_fool | CC BY-SA 4.0 |
added math notation
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| Mar 18, 2019 at 21:08 | comment | added | Weiwen Ng |
Also note: you can make things display as equations by enclosing them in $ signs, e.g. $\hat{S}$ will display as $\hat{S}$, or $\epsilon_t$ will display as $\epsilon_t$
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| Mar 17, 2019 at 14:40 | history | edited | fearless_fool | CC BY-SA 4.0 |
added note that the noise is evenly distributed within some bounds.
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| Mar 17, 2019 at 13:54 | answer | added | Sebastiaan | timeline score: 0 | |
| Mar 17, 2019 at 12:53 | comment | added | Glen_b | Do you know anything about the noise? Can you say how you'd want to measure deviation of $\hat{S}$ from the `true signal' | |
| Mar 17, 2019 at 12:35 | comment | added | Tim | "Good enough" in terms of what? | |
| Mar 17, 2019 at 12:26 | history | asked | fearless_fool | CC BY-SA 4.0 |