1
$\begingroup$

I can't find what is the distribution corresponding to the default option in:

DistributionFitTest[data, Automatic, "HypothesisTestData"];

Is it N(0,1), uniform?

$\endgroup$
1
  • 2
    $\begingroup$ Does this answer your question? $\endgroup$
    – Szabolcs
    Mar 20, 2014 at 15:53

1 Answer 1

2
$\begingroup$

By default DistributionFitTest attempts to test fit against the family of normal distributions. To test if the data is standard normal (i.e. N(0,1)) you would use.

DistributionFitTest[data, NormalDistribution[]]

There are examples that show this to be the case in the Properties & Relations section of the documentation for DistributionFitTest.

$\endgroup$
8
  • $\begingroup$ When you have time, could you take a look whether this looks reasonable? I have an actual practical need for this. My distribution looks like a histogram, but it comes from probabilistic bisection (see pages 13-15) and not from counting data points. $\endgroup$
    – Szabolcs
    May 12, 2014 at 20:37
  • $\begingroup$ @Szabolcs I don't see anything wrong with your approach. I don't have access to the source so I can't promise that the Infinity is safe across the board. You know the typical caveat about undocumented internals being subject to change. $\endgroup$
    – Andy Ross
    May 14, 2014 at 13:45
  • $\begingroup$ Suggest this may be a Beta distribution, not a normal one. Before testing the fit to any distribution, you should identify which one it is. I do this 100 times and find the best one looping FD = FindDistribution[data, 5, "BIC", "RandomSeed" -> foundi - 1, PerformanceGoal -> "Quality"] in Mathematica 10.3 The functionality may be different in other versions. $\endgroup$
    – Carl
    Aug 25, 2016 at 21:26
  • $\begingroup$ @Andy Ross No, first of all ND is bounded on $(-\infty ,\infty )$ and your results as well as BD are bounded on $(0,1)$. Such that you data may be BD. Best to let Mathematica tell you which distribution it most likely is see FindDistribution. That will go through a lot of distributions and select the best ones. $\endgroup$
    – Carl
    Aug 26, 2016 at 21:53
  • $\begingroup$ @Andy Ross Sorry, my bad. The results pertain to probabilistic bisection (see pages 13-15) and Szabolcs's comment. $\endgroup$
    – Carl
    Aug 26, 2016 at 22:34

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

Not the answer you're looking for? Browse other questions tagged or ask your own question.