Hugh Meredith, Stephen Potts, and George Webb, I have Characteris'd before.
"Benjamin Franklin" by Frank Luther Mott
The following theorem is a consequence of the informational inequality (16) and it is interesting by itself, because gives some bounds for the characteris-tics (the average sample number, the type-I error probability and the derivative of the power function) of any sequential hypothesis test.
Locally most powerful sequential tests of a simple hypothesis vs. One-sided alternatives for independent observations
In this paper we test quantitatively whether such an inversion can recover the global properties of connectivity of the density ﬁeld, using topological tools such as the Euler characteris tic and the probability distribution function.
Recovering the topology of the IGM at z~2
In this section, F will be an abstract (i.e., not embedded) ﬁeld of characteris tic zero, small enough to be embedded in C, and which we will eventually specify to be a number ﬁeld.
Variations on a theorem of Tate