-
Equiprobability is a
property for a
collection of
events that each have the same
probability of occurring. In
statistics and
probability theory it is...
- the
volume of this region, i.e., that all
accessible microstates are
equiprobable over a long
period of time. Liouville's
theorem states that, for a Hamiltonian...
-
event can
yield one of n
equiprobable outcomes and
another has one of m
equiprobable outcomes then
there are mn
equiprobable outcomes of the
joint event...
- and
Wright noted, two
important factors are
prevalence (are the
codes equiprobable or do
their probabilities vary) and bias (are the
marginal probabilities...
- width. This
avoids bins with low counts. A
common case is to
choose equiprobable bins,
where the
number of
samples in each bin is
expected to be approximately...
- {\displaystyle c_{1}}
equiprobably from { B , G } {\displaystyle \mathrm {\{B,G\}} } Draw c 2 {\displaystyle c_{2}}
equiprobably from { B , G } {\displaystyle...
- has an
upper bound,
which is
reached when the
possible outcomes are
equiprobable. The
maximum entropy of n bits is n Sh. A
further quantity that it is...
- _{i=1}^{n}p(x_{i}\mid C_{k}).} A class's
prior may be
calculated by ****uming
equiprobable classes, i.e., p ( C k ) = 1 K {\displaystyle p(C_{k})={\frac {1}{K}}}...
-
unicity distance, H(k) is the
entropy of the key
space (e.g. 128 for 2128
equiprobable keys,
rather less if the key is a
memorized p****-phrase). D is defined...
- {\displaystyle Q} if Z = 1 {\displaystyle Z=1} ,
where Z {\displaystyle Z} is
equiprobable. That is, we are
choosing X {\displaystyle X}
according to the probability...
