Timeline for Evaluation points following a bivariate Gaussian distribution [closed]
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Jan 17, 2021 at 2:40 | history | edited | J. M.'s missing motivation♦ |
edited tags
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| Jan 16, 2021 at 21:43 | history | closed |
MarcoB m_goldberg Rohit Namjoshi garej LouisB |
Needs details or clarity | |
| Jan 16, 2021 at 18:56 | comment | added | JimB |
If the objective is to describe the distribution of $f$ (pdf, mean, variance, etc.) given that $(a,b)$ has a bivariate Gaussian distribution, have you tried TransformedDistribution ?
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| Jan 16, 2021 at 17:46 | comment | added | JimB | What exactly follows a Gaussian distribution? Do you have a nonlinear regression with $y=f(a,b) + \epsilon$ with $\epsilon\sim N(0,\sigma^2)$ or do you have errors in the predictor variables $y=f(a+\epsilon_a, b+\epsilon_b)$ where $(\epsilon_a,\epsilon_b)$ follows a bivariate Gaussian distribution? | |
| Jan 16, 2021 at 17:44 | history | edited | m_goldberg | CC BY-SA 4.0 |
Routine cleanup
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| Jan 16, 2021 at 16:45 | review | Close votes | |||
| Jan 16, 2021 at 21:43 | |||||
| Jan 16, 2021 at 14:11 | answer | added | Daniel Huber | timeline score: 2 | |
| Jan 16, 2021 at 13:22 | comment | added | Ulrich Neumann |
Look for NormalDistribution[\[Mu],\[Sigma]]
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| Jan 16, 2021 at 13:17 | history | asked | user49535 | CC BY-SA 4.0 |