Re:A Way to Detect Bias
by yummyfajitas on Saturday October 31, 2015 @06:23PM
(#10484464)
A null hypothesis is just a specific thing you are trying to disprove. In this case, it's simply that the min of both distributions is identical.
I am assuming we know exactly one thing about the class the measures f and g come from: for every function in that class, \int_C^{C+d} f(x) dx >= h(d) for some monotonic function h(d).
The p-value is then computed in terms of h(d), since p >= h(d)^N.
I am assuming we know exactly one thing about the class the measures f and g come from: for every function in that class, \int_C^{C+d} f(x) dx >= h(d) for some monotonic function h(d).
The p-value is then computed in terms of h(d), since p >= h(d)^N.