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I guess the purpose of runtests.jl is to test the framework and machinery of the RNGTest package, rather than verifying the statistical soundness of the RNGs themselves.
If I want to test a RNG, should I be checking that p-values are between [0.001, 0.999]?
In this case, should I expect failures to be 1 in 1000?
The text was updated successfully, but these errors were encountered:
I guess the purpose of runtests.jl is to test the framework and machinery of the RNGTest package, rather than verifying the statistical soundness of the RNGs themselves.
That is correct
If I want to test a RNG, should I be checking that p-values are between [0.001, 0.999]?
Yeah. I think that is the idea in U01 and I think it makes sense.
In this case, should I expect failures to be 1 in 1000?
Almost since [0.001, 0.999] would leave 0.1% in each end I guess it would be 2 in 1000.
This is a query rather than an issue.
I see that in
runtest.jl
that p-values of individual RNG tests are compared topval
(which is initialized to 0.001).I guess the purpose of
runtests.jl
is to test the framework and machinery of theRNGTest
package, rather than verifying the statistical soundness of the RNGs themselves.If I want to test a RNG, should I be checking that p-values are between
[0.001, 0.999]
?In this case, should I expect failures to be 1 in 1000?
The text was updated successfully, but these errors were encountered: