Timeline for KS test for Poisson distribution data
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 3, 2023 at 21:15 | vote | accept | Jihyun | ||
| Aug 26, 2023 at 18:11 | comment | added | whuber♦ | When your purpose is description, formal testing with p-values is not appropriate or useful. | |
| Aug 26, 2023 at 17:04 | answer | added | Steve Tryndamere | timeline score: 2 | |
| Aug 25, 2023 at 2:18 | comment | added | Ute | What is the scientific background of the dats? Are these integres counts, or discretized measurements of a continuous variable? And do you have an explanation for the ties that whuber mentions? They make us doubt that these are i.i.d realizations from some distribution | |
| Aug 24, 2023 at 23:42 | comment | added | Jihyun | The only reason I thought my data might follow a named Poisson is because of the shape of the distribution graph. There isn't any other scientific rationale behind it. I just wanted to represent the data distribution with a small number of parameters... | |
| Aug 24, 2023 at 22:25 | comment | added | whuber♦ | The KS test is not applicable when there are so many tied values, nor does it directly apply when the distributional parameters are estimated from the data. Why are you even performing distributional testing? What is the intention? | |
| Aug 24, 2023 at 21:55 | comment | added | Henry | Here it is clear a test against any Poisson is going to fail wherever you start the location, given how high the variance of your data is. A Poisson distribution with that variance is going to have minimal skewness, unlike your graph. Similarly a normal distribution has no skewness, so that test will fail too. Is there any reason to think you data might follow a named distribution? Real world data usually does not and then fails all such tests if you have enough data | |
| Aug 24, 2023 at 21:51 | comment | added | Henry | Arbitrarily looking for a location-shifted Poisson distribution is not going to work and you should not do it unless you think there is a good reason to do so from the science of whatever you are looking at. | |
| S Aug 24, 2023 at 21:10 | review | First questions | |||
| Aug 24, 2023 at 22:20 | |||||
| S Aug 24, 2023 at 21:10 | history | asked | Jihyun | CC BY-SA 4.0 |