STAR*NET V6 - Circe
STAR*NET V6 - Circe
STAR*NET V6 - Circe
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Chapter 8 Analysis of Adjustment Output<br />
8.7 Adjustment Statistical Summary<br />
The Statistical Summary, although short, contains some of the most useful and important<br />
information in the entire adjustment listing. You should always review it, especially if<br />
you are having problems with your adjustment.<br />
Statistical Summary<br />
===================<br />
Convergence Iterations = 4<br />
Number of Stations = 7<br />
Number of Observations = 32<br />
Number of Unknowns = 16<br />
Number of Redundant Obs = 16<br />
Observation Count Sum Squares Error<br />
of StdRes Factor<br />
Coordinates 3 0.62 0.64<br />
Angles 10 10.04 1.42<br />
Directions 2 0.08 0.28<br />
Distances 8 5.84 1.21<br />
Az/Bearings 1 0.01 0.02<br />
Zeniths 8 0.48 0.35<br />
Total 32 17.06 1.03<br />
Adjustment Passed the Chi Square Test at 5% Level<br />
Statistical Summary<br />
The first item in this section indicates how many iterations were performed to get<br />
convergence. If an adjustment does not converge, the word “failure” will follow the<br />
number of iterations performed to alert you to the fact. If increasing the number of<br />
iterations does not help, other problems in your network data may be preventing a proper<br />
solution. In this case, these problems must be found and corrected!<br />
The second item indicates how many stations are actually included in the network. Any<br />
station included in your data file, but not actually connected to any other station by one<br />
or more observations, is not included in this count.<br />
The next three lines indicate the numbers of observations, unknowns and redundant<br />
observations in the network. The number of redundant observations, often called the<br />
“Degrees of Freedom” of the network, is equal to the number of observations in the<br />
network minus the number of unknowns. This is also sometimes called the redundancy<br />
of a network.<br />
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