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| Which is best depends on what you mean by "best", your subject matter, and your objective. Because you appear to be selecting between a Gamma and a Nakagami distribution, I would assume that there is no theoretical reason for either. As Henrik... |
| Would you edit the code so that it can be pasted into a notebook? Alternatively, attaching a notebook would be helpful. What you've given is missing a few backslashes. For example: `[Alpha]` instead of `\[Alpha]`. |
| I'm not understanding or believing what you mean by "Sometimes the PDF is plotted at different scale...." Could you give an example? Also, adding "PlotRange -> All" will fix any cropping of the PDF. |
| That message is a "warning" rather than an "error" as you see you still get a good fit. However, the underlying reason for the warning is that your model is overparametersized. If you look at the parameter correlation matrix you see the following: ... |
| When using the command with symbolic parameters for a normal distribution KolmogorovSmirnovTest[data, NormalDistribution[\[Mu], \[Sigma]], "TestData"] you are testing whether the data comes from a normal distribution. That is the... |
| From the "code" you gave, I don't see what those values are. Without providing code in an easily copyable form, I don't see the any of us can give you much help. |
| Use `Hypergeometric2F1` rather than `HyperGeometric2F1`. |
| If you're going to post the same question on multiple sites, please make that known. Otherwise, you might be wasting the time of folks trying to help you if there's already an answer or a strong hint at another site. |
| Cross-posted at https://mathematica.stackexchange.com/questions/289812/for-parametrized-functions-can-we-determine-function-range-directly. |
| What you have labeled $\chi^2_{\alpha/2}\approx 26.119$ is the value of a chisquare random variable $X$ that has a probability of $\alpha/2$ in the right tail. The correct function to use is the `InverseCDF` which gives the value of the chisquare... |