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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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