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GJ - Privredna komora Srbije

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NAS CQ 0 Q11 Q22 Q33<br />

(22)<br />

The CQ parameter is based on the standard deviation, but additionally, empirical assumptions about<br />

environmental conditions are also taken into consideration. The CQ is derived so that here is at least two<br />

thirds (2/3) of a probability that the computed position deviates from the true position by less than the CQ<br />

value [3].<br />

The second standard error <br />

SAS 3<br />

is defined by the cofactor matrix of preliminary measurements and a priori<br />

variance of unit weight. <br />

SAS 3<br />

is calculated with the help of equations (7) and (20).<br />

ACCURACY COMPARISON BETWEEN HOURLA AND DAILY OBSERVATIONS<br />

During the comparison of hourly and daily observations the following data was taken into consideration:<br />

• Adjusted coordinates of hourly observations Yizr , Xizr , H<br />

izr<br />

,<br />

• Posteriori standard errors of hourly observations gained with procedures of adjustment <br />

SAS 2<br />

and<br />

<br />

SAS3<br />

,<br />

• Coordinates Y, X , H of hourly observations,<br />

• A priori standard errors of daily observations <br />

NAS<br />

and <br />

SAS 3<br />

.<br />

Factor , which defines the values of boundary or maximal error, was also included in the comparison<br />

procedure. The regarded values of during the comparison were 1, 2, 3 and 4 and they were used as a base<br />

for the accuracy of hourly observations in the comparison with more accurate daily observations. When the<br />

value of factor equals 3, the boundary or maximal error is given which is the same as the value of the<br />

triple standard error. Considering this value it can be determined if the hourly observations in comparison<br />

with more accurate daily observations peruse the classical theory of errors.<br />

In the scope of the comparison the law of propagation of variances and covariances was used which states<br />

that a sought quantity L is a function of measured values. This can be written as [5]:<br />

L l1 l2 l3<br />

l n<br />

( , , ,..., )<br />

(23)<br />

Errors of every observation are transferred to the sought values L . For uncorrelated observations the variance<br />

of the sough value can be defined by equation:<br />

2 2<br />

2 2 2<br />

2<br />

<br />

2<br />

<br />

2<br />

<br />

2<br />

n<br />

2<br />

<br />

L l<br />

...<br />

1<br />

l2 l3<br />

ln<br />

i <br />

l i 1<br />

1<br />

l2 l3<br />

l <br />

n<br />

li<br />

<br />

<br />

(24)<br />

The standard deviation of the sought value L :<br />

n <br />

<br />

L<br />

i<br />

i1<br />

l i <br />

2<br />

(25)<br />

314

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