CSU-Carig
Adjustment computations :spatial data analysis
by Ghilani, Charles D.
| Item type | Location | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
Electronic Books
|
E-Books | 526.9 22 (Browse shelf) | Available |
Includes bibliographical references and index.
In recent years, the least squares method of adjusting spatial data has been
rapidly gaining popularity as the method used for analyzing and adjusting survey-
ing data. This should not be surprising, because the method is the most rigorous
adjustment procedure available. It is soundly based on the mathematical theory of
probability; it allows for appropriate weighting of all observations in accordance
with their expected precisions; and it enables complete statistical analyses to be
made following adjustments so that the expected precisions of adjusted quantities
can be determined. Procedures for employing the method of least squares and
then statistically analyzing the results are major topics covered in this book.
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