Sharp JX-9400 Technical Information Seite 181

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Seitenansicht 180
the infinitely small increments dx
i
by the absolute error x
i
and by summing the
absolute values:
y
j
¼
X
i
@f
j
@x
i
x
i
ð7:67Þ
If only arithmetical operations are used, the rules simplify to the followin g:
.
If the result is obtained by adding or subtracting the measurements, the
absolute error on the result, y, is the sum of the absolute errors, x,of
each measurement.
.
If the result is obtained by multiplying or dividing measured data, the
relative error on the re sult, y=y, is the sum of the relative errors, x=x,on
the measurements.
Estimate of the variance
The simplest method illustrated above is very rough, sinc e it overestimates the
confidence interval by supposing that all the errors in the measurements pull
the result in the same direction, which is highly improbable. A statistical inter-
pretation is then needed to take account of randomly distributed errors.
If the variances, s
xi
, and the covariances, s
xi;xj
, of the measurements are
known or estimated, the covariances on the results, s
yk; yl
, is, in a first approx-
imation:
s
yk; yl
¼
X
i
X
j
@f
k
@x
i
@f
l
@x
j
s
xi;xj
ð7:68Þ
The variance of a given result is then:
ðs
yk
Þ
2
¼
X
i
X
j
@f
k
@x
i
@f
k
@x
j
s
xi;xj
ð7:69Þ
and if the measured variables are independent (that is if s
xi;xj
¼ 0 when i j ),
this simplifies to:
ðs
yk
Þ
2
¼
X
i
@f
k
@x
i
2
ðs
xi
Þ
2
ð7:70Þ
The corresponding confidence intervals are then easily obtained by multiplying
these results by the Student coefficient T(P; 1).
Linear equations systems
To interpret the results of an exper ience, we often should solve a system of
equations such as:
Ay ¼ x ð7:71Þ
where components of the vector x and the coefficients in the matrix A (which are
the results of the measurements) are perturbed by random errors that can be
160 Ventilation and Airflow in Buildings
Seitenansicht 180
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