Error Propagation |
Error Propagation
Given a
formula
with an
absolute error in
of
,
the
absolute error is
.
The
relative error is
.
If
,
then
|
(1)
|
where
denotes the
mean, so the
sample variance is given by
The definitions of
variance
and
covariance then give
(where
),
so
|
(7)
|
If
and
are uncorrelated, then
so
|
(8)
|
Now consider addition of quantities with errors. For
,
and
,
so
|
(9)
|
For division of quantities with
,
and
,
so
|
(10)
|
Dividing through by
and rearranging then gives
For exponentiation of quantities with
|
(14)
|
and
|
(15)
|
so
|
(16)
|
|
(17)
|
If
,
then
|
(18)
|
For
logarithms of quantities with
,
,
so
|
(19)
|
|
(20)
|
For multiplication with
,
and
,
so
|
(21)
|
For
powers,
with
,
,
so
|
(24)
|
|