Timeline for Difficulty understanding the difference between Poisson, Quasi-Poisson, and Negative Binomial models
Current License: CC BY-SA 4.0
3 events
| when toggle format | what | by | license | comment | |
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| Mar 20, 2021 at 19:26 | comment | added | Nikos M. | The coefficients you mention even though they might be the same for this case, they are used in different models. Hence the different results (eg in std. error) | |
| Mar 20, 2021 at 19:21 | comment | added | Nikos M. | in the tutorial it is mentioned that Poisson dist assumes same mean and variance. While Negative Binomial dist has a dispersion coeff that makes variance different than the mean. So for the race example the Poisson modelling exhibits variance same as the mean, while it is mentioned that this is not so from the data analysis | |
| Mar 20, 2021 at 18:18 | history | asked | Ali Shana'a | CC BY-SA 4.0 |